18.4.3.15 Image Manipulation -- Expansion, Zoom, Magnification

Sekigawa, K.[Keiji],
Method of reproducing a picture having improved resolution,
US_Patent4,393,452, Jul 12, 1983
WWW Link. BibRef 8307

Anderson, K.L.[Karen L.], Mintzer, F.C.[Frederick C.], Goertzel, G.[Gerald],
Method for enlarging a binary image,
US_Patent4,631,751, Dec 23, 1986
WWW Link. BibRef 8612

Anderson, K.L.[Karen L.], Pennebaker, W.B.[William B.], Pennington, K.S.[Keith S.],
Method for enlarging an image stored in run representation form,
US_Patent4,885,786, Dec 5, 1989
WWW Link. BibRef 8912

Kang, H.R.[Henry R.],
Resolution conversion of bitmap images,
US_Patent5,270,836, Dec 14, 1993
WWW Link. Double and smooth BibRef 9312

Mailloux, L.D.[Louis D.], Coward, R.E.[Robert E.],
Bit-map image resolution converter,
US_Patent5,282,057, Jan 25, 1994
WWW Link. BibRef 9401

Schultz, R.R., Stevenson, R.L.,
A Bayesian approach to image expansion for improved definition,
IP(3), No. 3, May 1994, pp. 233-242.
IEEE DOI 0402
BibRef

Ferracini, B.[Bruno], Gonzalez-Lopez, J.[Jorge], Pettazzi, G.[Giancarlo],
System and method for scaling a digital image,
US_Patent5,335,295, Aug 2, 1994
WWW Link. BibRef 9408

Coward, R.E.[Robert E.], Parker, J.D.[James D.],
Unquantized resolution conversion of bitmap images using error diffusion,
US_Patent5,363,213, Nov 8, 1994
WWW Link. BibRef 9411

Park, S.W.[Sung-Wook], Paik, J.K.[Joon-Ki],
Digital zooming system utilizing image buffers and employing an approximated bilinear interpolation method,
US_Patent5,307,167, Apr 26, 1994
WWW Link. BibRef 9404

Webb, A.R.[Andrew R.],
Multidimensional scaling by iterative majorization using radial basis functions,
PR(28), No. 5, May 1995, pp. 753-759.
Elsevier DOI 0401
BibRef

Unser, M., Aldroubi, A., Eden, M.,
Enlargement or reduction of digital images with minimum loss of information,
IP(4), No. 3, March 1995, pp. 247-258.
IEEE DOI 0402
BibRef

Malinowski, C.W.[Christopher W.], Zepp, S.R.[Stanley R.],
Video scaling method and device,
US_Patent5,574,572, Nov 12, 1996
WWW Link. BibRef 9611

Hanyu, Y.[Yoshiaki],
Apparatus and method for processing two-tone image data so as to smooth and magnify image,
US_Patent5,611,023, Mar 11, 1997
WWW Link. BibRef 9703
And:
Apparatus and method for processing two-tone image data so as to smooth image and convert each image pixel into a plurality of pixels,
US_Patent5,812,742, Sep 22, 1998
WWW Link. BibRef
And:
Image processing apparatus for the smooth enlargement and multileveling output of an image,
US_Patent5,574,833, Nov 12, 1996
WWW Link. BibRef

Loce, R.P.[Robert P.], Cianciosi, M.S.[Michael S.], Klassen, R.V.[R. Victor],
Non-integer image resolution conversion using statistically generated look-up tables,
US_Patent5,387,985, Feb 7, 1995
WWW Link. BibRef 9502

Klassen, R.V.[R. Victor], Morgana, S.C.[Stephen C.],
Neighbor insentive pixel deletion method for printing high resolution image,
US_Patent5,677,714, Oct 14, 1997
WWW Link. BibRef 9710

Klassen, R.V.[R. Victor], Courtney, T.P.[Thomas P.], Morgana, S.C.[Stephen C.],
Edge insensitive pixel deletion method for printing high resolution image,
US_Patent5,767,870, Jun 16, 1998
WWW Link. BibRef 9806

Klassen, R.V.[R. Victor],
Resolution enhancement and thinning method for printing pixel images,
US_Patent5,742,300, Apr 21, 1998
WWW Link. BibRef 9804

Loce, R.P.[Robert P.], Jodoin, R.E.[Ronald E.], Lin, Y.W.[Ying-Wei],
Area mapping employing reference clusters for high quality noninteger resolution conversion with enhancement,
US_Patent5,689,343, Nov 18, 1997
WWW Link. BibRef 9711

Lin, Y.W.[Ying-Wei], Loce, R.P.[Robert P.], Branciforte, M.[Michael],
Method and apparatus for the resolution enhancement of gray-scale images that include text and line art,
US_Patent5,742,703, Apr 21, 1998
WWW Link. BibRef 9804

Loce, R.P.[Robert P.], Branciforte, M.[Michael],
System and method for enhancement of image contour fidelity,
US_Patent6,332,044, Dec 18, 2001
WWW Link. BibRef 0112

Loce, R.P.[Robert P.], Zhang, Y.Q.[Ye-Qing], Williams, L.C.[Leon C.], Branciforte, M.[Michael],
Compact rendering for processing binary high addressability images,
US_Patent6,449,396, Sep 10, 2002
WWW Link. BibRef 0209
And: A1, A4, A2, A3:
Compact-dot reproduction of scanned halftone screens,
US_Patent6,683,702, Jan 27, 2004
WWW Link. BibRef

Loce, R.P.[Robert P.], Cuciurean-Zapan, C.[Clara], Williams, L.C.[Leon C.],
Loose-gray-scale template matching,
US_Patent6,678,414, Jan 13, 2004
WWW Link. BibRef 0401

Loce, R.P.[Robert P.], Handley, J.C.[John C.], Cuciurean-Zapan, C.[Clara],
Document image segmentation using loose gray scale template matching,
US_Patent6,738,517, May 18, 2004
WWW Link. BibRef 0405
And:
Feature recognition using loose gray scale template matching,
US_Patent6,807,304, Oct 19, 2004
WWW Link. BibRef

Loce, R.P.[Robert P.], Jodoin, R.E.[Ronald E.], Cianciosi, M.S.[Michael S.],
Method and apparatus employing erosion-based filter pairs for image mapping,
US_Patent5,680,485, Oct 21, 1997
WWW Link. BibRef 9710

Loce, R.P.[Robert P.], Cianciosi, M.S.[Michael S.], Kingsley, J.D.[Jeffrey D.],
Image resolution conversion method that employs statistically generated multiple morphological filters,
US_Patent5,579,445, Nov 26, 1996
WWW Link. BibRef 9611

Girmay, G.K.[Girmay K.], Loce, R.P.[Robert P.],
Logic filters for resolution conversion of digital images,
US_Patent5,862,305, Jan 19, 1999
WWW Link. BibRef 9901

Darwish, A.M., Bedair, M.S., Shaheen, S.I.,
Adaptive Resampling Algorithm for Image Zooming,
VISP(144), No. 4, August 1997, pp. 207-212. 9806
BibRef

Hwang, J.H.[Jung-Hyun],
Digital zooming system of high resolution and method therefor,
US_Patent5,666,160, Sep 9, 1997
WWW Link. BibRef 9709

Ward, J.[Joseph], Cook, W.A.[William A.], Berarducci, T.N.[Thomas Neal], d'Luna, L.J.[Lionel J.],
Digital resampling integrated circuit for fast image resizing applications,
US_Patent5,809,182, Sep 15, 1998
WWW Link. BibRef 9809

Miyake, N.[Nobutaka],
Image processing with low-resolution to high-resolution conversion,
US_Patent5,875,268, Feb 23, 1999
WWW Link. BibRef 9902

Qiu, G.P.[Guo-Ping],
Interresolution Look-up Table for Improved Spatial Magnification of Image,
JVCIR(11), No. 4, December 2000, pp. 360-373. 0101
BibRef

Leu, J.G.[Jia-Guu],
Image enlargement based on a step edge model,
PR(33), No. 12, December 2000, pp. 2055-2073.
Elsevier DOI 0008
BibRef

Leu, J.G.[Jia-Guu],
Sharpness preserving image enlargement based on a ramp edge model,
PR(34), No. 10, October 2001, pp. 1927-1938.
Elsevier DOI 0108
BibRef
Earlier:
Image smoothing based on pixel grouping,
ICIP95(II: 535-538).
IEEE DOI 9510
BibRef

Mitra, S.K.[Suman K.], Murthy, C.A., Kundu, M.K.[Malay K.],
A technique for image magnification using partitioned iterative function system,
PR(33), No. 7, July 2000, pp. 1119-1133.
Elsevier DOI 0005
BibRef

Hamill, C.F.[Carroll Francis],
Non-integer scaling of raster images with image quality enhancement using an anamorphically scaled intermediate bitmap,
US_Patent6,181,835, Jan 30, 2001
WWW Link. BibRef 0101
And:
Non-integer scaling of raster images,
US_Patent6,226,420, May 1, 2001
WWW Link. BibRef

Zable, J.[Jack], Hamill, C.F.[Carroll Francis],
Non-integer scaling of raster images with image quality enhancement,
US_Patent6,195,473, Feb 27, 2001
WWW Link. BibRef 0102

Zavaljevski, A.[Aleksander], Mussack, C.J.[Christopher J.], Deaven, D.M.[David M.],
Method and apparatus for zooming digital images,
US_Patent6,236,766, May 22, 2001
WWW Link. BibRef 0105

Malgouyres, F., Guichard, F.,
Edge direction preserving image zooming: A mathematical and numerical analysis,
NumAnal(39), 2002, pp. 1-37.
DOI Link BibRef 0200

Li, X.[Xin],
Super-Resolution for Synthetic Zooming,
JASP(2006), 2006, pp. 1-12.
WWW Link. 0603
BibRef

Li, X.[Xin],
Image Resolution Enhancement via Data-Driven Parametric Models in the Wavelet Space,
JIVP(2007), 2007, pp. xx-yy.
DOI Link 0804
BibRef

Kim, H.Y.[Hae Yong],
Binary operator design by k-nearest neighbor learning with application to image resolution increasing,
IJIST(11), No. 5, 2000, pp. 331-339.
WWW Link. 0110
BibRef

Biancardi, A., Cinque, L., Lombardi, L.,
Improvements to image magnification,
PR(35), No. 3, March 2002, pp. 677-687.
Elsevier DOI 0201
BibRef

Biancardi, A., Lombardi, L., Pacaccio, V.,
C: Improvements to image magnification,
CIAP97(I: 142-149).
Springer DOI 9709
BibRef

Battiato, S., Gallo, G., Stanco, F.,
A locally adaptive zooming algorithm for digital images,
IVC(20), No. 11, September 2002, pp. 805-812.
Elsevier DOI 0209
BibRef

Frajka, T.[Tamás], Zeger, K.[Kenneth],
Downsampling dependent upsampling of images,
SP:IC(19), No. 3, March 2004, pp. 257-265.
Elsevier DOI 0402
BibRef

Meijering, E.H.W., Zuiderveld, K.J., Viergever, M.A.,
Image Reconstruction by Convolution with Symmetrical Piecewise nth-Order Polynomial Kernels,
IP(8), No. 2, February 1999, pp. 192-201.
IEEE DOI BibRef 9902

Joshi, M.V.[Manjunath V.], Chaudhuri, S.[Subhasis], Panuganti, R.[Rajkiran],
Super-resolution imaging: use of zoom as a cue,
IVC(22), No. 14, 1 December 2004, pp. 1185-1196.
Elsevier DOI 0412
BibRef
Earlier:
Zoom based super-resolution through SAR model fitting,
ICIP04(III: 1775-1778).
IEEE DOI 0505

See also Motion-Free Super-Resolution. BibRef

Joshi, M.V.[Manjunath V.], Chaudhuri, S.[Subhasis], Panuganti, R.[Rajkiran],
A Learning-Based Method for Image Super-Resolution From Zoomed Observations,
SMC-B(35), No. 3, June 2005, pp. 527-537.
IEEE DOI 0508
BibRef

Joshi, M.V.[Manjunath V.], Chaudhuri, S.[Subhasis],
Simultaneous estimation of super-resolved depth map and intensity field using photometric cue,
CVIU(101), No. 1, January 2005, pp. 31-44.
Elsevier DOI 0512
BibRef

Sharma, S., Joshi, M.V.,
A Practical Approach for Super-Resolution using Photometric cue and Graph Cuts,
BMVC07(xx-yy).
PDF File. 0709
BibRef

Gajjar, P.P.[Prakash P.], Joshi, M.V.[Manjunath V.], Banerjee, A.[Asim], Mitra, S.[Suman],
Decimation Estimation and Linear Model-Based Super-Resolution Using Zoomed Observations,
IbPRIA07(I: 314-321).
Springer DOI 0706
BibRef
Earlier:
Decimation Estimation and Super-Resolution Using Zoomed Observations,
ICCVGIP06(45-57).
Springer DOI 0612
BibRef

Patel, R.C., Joshi, M.V.,
Super-Resolution of Hyperspectral Images: Use of Optimum Wavelet Filter Coefficients and Sparsity Regularization,
GeoRS(53), No. 4, April 2015, pp. 1728-1736.
IEEE DOI 1502
digital filters BibRef

Dutta-Choudhury, P.[Paul], Scola, J.[Joe], Safford, B.[Brad], Reyzin, I.[Igor],
Method and apparatus for inspection for under-resolved features in digital images,
US_Patent6,718,074, Apr 6, 2004
WWW Link. BibRef 0404

Arigovindan, M., Suhling, M., Hunziker, P., Unser, M.,
Variational Image Reconstruction From Arbitrarily Spaced Samples: A Fast Multiresolution Spline Solution,
IP(14), No. 4, April 2005, pp. 450-460.
IEEE DOI 0501
BibRef
Earlier:
Multigrid image reconstruction from arbitrarily spaced samples,
ICIP02(III: 381-384).
IEEE DOI 0210
BibRef

Aly, H.A., Dubois, E.,
Specification of the Observation Model for Regularized Image Up-Sampling,
IP(14), No. 5, May 2005, pp. 567-576.
IEEE DOI 0505
BibRef

Aly, H.A., Dubois, E.,
Image up-sampling using total-variation regularization with a new observation model,
IP(14), No. 10, October 2005, pp. 1647-1659.
IEEE DOI 0510
BibRef
Earlier:
Regularized image up-sampling using a new observation model and the level set method,
ICIP03(III: 665-668).
IEEE DOI 0312
BibRef

Lukac, R.[Rastislav], Plataniotis, K.N.[Konstantinos N.],
Digital zooming for color filter array-based image sensors,
RealTimeImg(11), No. 2, April 2005, pp. 129-138.
Elsevier DOI 0506
BibRef

Lukac, R.[Rastislav], Plataniotis, K.N.[Konstantinos N.], Smolka, B.[Bogdan],
A New Color Filter Array Interpolation Approach for Single-Sensor Imaging,
ICIAR04(II: 281-288).
Springer DOI 0409
BibRef

Lukac, R.[Rastislav], Plataniotis, K.N.[Konstantinos N.], Hatzinakos, D.,
Color image zooming on the Bayer pattern,
CirSysVideo(15), No. 11, November 2005, pp. 1475-1492.
IEEE DOI 0512
BibRef

Chang, C.C.[Chin-Chen], Chou, Y.C.[Yung-Chen], Yu, Y.H.[Yuan-Hui], Shih, K.J.[Kai-Jung],
An image zooming technique based on vector quantization approximation,
IVC(23), No. 13, 29 November 2005, pp. 1214-1225.
Elsevier DOI 0512
BibRef

Cha, Y.J.[Young-Joon], Kim, S.J.[Seong-Jai],
Edge-Forming Methods for Color Image Zooming,
IP(15), No. 8, August 2006, pp. 2315-2323.
IEEE DOI 0606
BibRef

Cha, Y.J.[Young-Joon], Kim, S.J.[Seong-Jai],
Edge-Forming Methods for Image Zooming,
JMIV(25), No. 3, October 2006, pp. 353-364.
Springer DOI 0611
BibRef

Cha, Y.J.[Young-Joon], Kim, S.J.[Seong-Jai],
The Error-Amended Sharp Edge (EASE) Scheme for Image Zooming,
IP(16), No. 6, June 2007, pp. 1496-1505.
IEEE DOI 0706
BibRef
Earlier:
Error-Amended Sharp Edge (EASE) Schemes for Image Interpolation,
ICIP06(701-704).
IEEE DOI 0610
BibRef

Kim, H.[Hakran], Cha, Y.J.[Young-Joon], Kim, S.J.[Seong-Jai],
Curvature Interpolation Method for Image Zooming,
IP(20), No. 7, July 2011, pp. 1895-1903.
IEEE DOI 1107
BibRef

Reulke, R., Becker, S., Haala, N., Tempelmann, U.,
Determination and improvement of spatial resolution of the CCD-line-scanner system ADS40,
PandRS(60), No. 2, April 2006, pp. 81-90.
Elsevier DOI 0610
High resolution sensor, Sensor resolution, Modelling, Calibration BibRef

Atkins, C.B.[C. Brian],
Method and system for image scaling,
US_Patent7,149,369, Dec 12, 2006
WWW Link. uses edges BibRef 0612

Raj, A.[Ashish], Thakur, K.[Kailash],
Fast and Stable Bayesian Image Expansion Using Sparse Edge Priors,
IP(16), No. 4, April 2007, pp. 1073-1084.
IEEE DOI 0704
BibRef

Zhang, L.[Lei], Zhang, D.[David],
A joint demosaicking-zooming scheme for single chip digital color cameras,
CVIU(107), No. 1-2, July-August 2007, pp. 14-25.
Elsevier DOI 0706
Demosaicking, Interpolation, Zooming, Single-chip digital cameras, Bayer pattern BibRef

Chung, K.H.[King-Hong], Chan, Y.H.[Yuk-Hee],
A Low-Complexity Joint Color Demosaicking and Zooming Algorithm for Digital Camera,
IP(16), No. 7, July 2007, pp. 1705-1715.
IEEE DOI 0707
BibRef
Earlier:
An Adaptive Color Filter Array Interpolation Algorithm for Digital Camera,
ICIP06(2697-2700).
IEEE DOI 0610

See also Lossless Compression Scheme for Bayer Color Filter Array Images, A. BibRef

Chung, K.H.[King-Hong], Chan, Y.H.[Yuk-Hee], Fu, C.H.[Chang-Hong], Chan, Y.L.[Yui-Lam],
An Efficient Combined Demosaicing and Zooming Algorithm for Digital Camera,
ICIP07(IV: 197-200).
IEEE DOI 0709

See also High Performance Lossless Bayer Image Compression Scheme, A. BibRef

Li, J.Q.[Jing-Qun],
All-digital 2-channel parallel undersampling and reconstruction of band-limited signals,
SIViP(2), No. 1, January 2008, pp. 89-99.
Springer DOI 0712
BibRef

Wang, C.[Ci], Xue, P.[Ping], Lin, W.S.[Wei-Si],
Layered image resizing in compression domain,
SP:IC(23), No. 1, January 2008, pp. 58-69.
Elsevier DOI 0801
Block DCT, Image resizing, MMSE, Two layer, Scalable codec BibRef

Xu, H.F.[Hai-Feng], Yu, S.Y.[Song-Yu], Wang, C.[Ci],
An Adaptive Image Resizing Algorithm in DCT Domain,
IEICE(E90-D), No. 8, August 2007, pp. 1308-1311.
DOI Link 0708
BibRef

Sharma, K.K., Joshi, S.D.,
Extrapolation of signals using the method of alternating projections in fractional Fourier domains,
SIViP(2), No. 2, June 2008, pp. xx-yy.
Springer DOI 0711
BibRef

Zhang, X.L.[Xiao-Ling], Lam, K.M.[Kin-Man], Shen, L.S.[Lan-Sun],
Image magnification based on a blockwise adaptive Markov random field model,
IVC(26), No. 9, 1 September 2008, pp. 1277-1284.
Elsevier DOI 0806
Image magnification, MAP estimation, Markov random field; Iterated function systems BibRef

Syed, A.[Aqeel], Ogawa, H.[Hidemitsu],
Optimal Sampling Operator for Signal Restoration in the Presence of Signal Space and Observation Space Noises,
IEICE(E88-D), No. 12, December 2005, pp. 2828-2838.
DOI Link 0512
BibRef

Pu, H.C.[Her-Chang], Lin, C.T.[Chin-Teng],
A Neural-network-based Image Resolution Enhancement Scheme For Image Resizing,
IJIG(2), No. 4, October 2002, pp. 503-517. 0210
BibRef

Shin, I.H.[Il-Hong], Park, H.W.[Hyun-Wook],
Adaptive Up-Sampling Method Using DCT for Spatial Scalability of Scalable Video Coding,
CirSysVideo(19), No. 2, February 2009, pp. 206-214.
IEEE DOI 0902
BibRef
Earlier:
Adaptive up-sampling method for H.264 scalable video coding,
ICIP06(3085-3088).
IEEE DOI 0610
BibRef

Yaroslavsky, L.P.[Leonid P.], Shabat, G.[Gil], Salomon, B.G.[Benjamin G.], Ideses, I.A.[Ianir A.], Fishbain, B.[Barak],
Nonuniform sampling, image recovery from sparse data and the discrete sampling theorem,
JOSA-A(26), No. 3, March 2009, pp. 566-575.
WWW Link. 0903
Analysis of the limits of recovery of uniform sampled data from sparse, non-uniform data. BibRef

Kawano, H.[Hideaki], Suetake, N.[Noriaki], Cha, B.[Byungki], Aso, T.[Takashi],
Sharpness preserving image enlargement by using self-decomposed codebook and Mahalanobis distance,
IVC(27), No. 6, 4 May 2009, pp. 684-693.
Elsevier DOI 0904
Image enlargement, Self-decomposed codebook, Mahalanobis distance; Shape-invariant properties of edges across scales BibRef

Tamukoh, H., Kawano, H.[Hideaki], Suetake, N.[Noriaki], Sekine, M., Cha, B.[Byungki], Aso, T.[Takashi],
Hierarchal Predefined Codebook for High-Frequency Component Augmentation Image Enlargement,
PSIVT10(294-299).
IEEE DOI 1011
BibRef

Orii, H., Kawano, H.[Hideaki], Suetake, N.[Noriaki], Maeda, H.,
Image Enlargement with Lost High-Frequency Components Estimation Using Clustered Eigenspace-BPLP,
PSIVT10(404-407).
IEEE DOI 1011
BibRef

Kanemura, A.[Atsunori], Maeda, S.I.[Shin-Ichi], Ishii, S.[Shin],
Sparse Bayesian Learning of Filters for Efficient Image Expansion,
IP(19), No. 6, June 2010, pp. 1480-1490.
IEEE DOI 1006
BibRef
Earlier:
Learning color image expansion filters,
ICIP09(357-360).
IEEE DOI 0911
BibRef

Wu, Z., Yu, H., Chen, C.W.,
A New Hybrid DCT-Wiener-Based Interpolation Scheme for Video Intra Frame Up-Sampling,
SPLetters(17), No. 10, October 2010, pp. 827-830.
IEEE DOI 1008
BibRef

Lee, Y.J., Yoon, J.,
Nonlinear Image Upsampling Method Based on Radial Basis Function Interpolation,
IP(19), No. 10, October 2010, pp. 2682-2692.
IEEE DOI 1003
BibRef

Lee, S.H.[Sang-Hyuck], Park, N.C.[No-Cheol], Park, K.S.[Kyoung-Su], Park, Y.P.[Young-Pil],
Upscaling image resolution of compact imaging systems using wavefront coding and a property of the point-spread function,
JOSA-A(27), No. 10, October 2010, pp. 2304-2312.
WWW Link. 1011
BibRef

Jurio, A., Pagola, M., Mesiar, R., Beliakov, G., Bustince, H.,
Image Magnification Using Interval Information,
IP(20), No. 11, November 2011, pp. 3112-3123.
IEEE DOI 1110
BibRef

Zhao, H.[Hui], Wang, R.[Ruyan], Song, D.P.[Dai-Ping], Wu, D.P.[Da-Peng],
An Extrapolation Algorithm for (a,b,c,d) -Bandlimited Signals,
SPLetters(18), No. 12, December 2011, pp. 745-748.
IEEE DOI 1112
BibRef

Zhao, H.[Hui], Wang, R.[Ruyan], Song, D.P.[Dai-Ping], Wu, D.P.[Da-Peng], Zhang, T.Q.[Tian-Qi],
Minimum Norm Least Squares Extrapolation Estimate for Discrete (a,b,c,d)-Bandlimited Signals,
SPLetters(19), No. 12, December 2012, pp. 853-856.
IEEE DOI 1212
BibRef

Guo, K., Yang, X., Zha, H., Lin, W., Yu, S.,
Multiscale Semilocal Interpolation With Antialiasing,
IP(21), No. 2, February 2012, pp. 615-625.
IEEE DOI 1201
Recover high res with low res aliased data.
See also Learning-based super-resolution method with a combining of both global and local constraints. BibRef

Zhang, L., Li, X., Zhang, D.,
Image denoising and zooming under the linear minimum mean square-error estimation framework,
IET-IPR(6), No. 3, 2012, pp. 273-283.
DOI Link 1204
BibRef

Kao, Y.T., Lin, H.J., Wang, C.W., Pai, Y.C.,
Effective Detection for Linear Up-Sampling by a Factor of Fraction,
IP(21), No. 8, August 2012, pp. 3443-3453.
IEEE DOI 1208
BibRef

Trede, D., Alexandrov, T., Sagiv, C., Maass, P.,
Magnification of Label Maps With a Topology-Preserving Level-Set Method,
IP(21), No. 9, September 2012, pp. 4040-4053.
IEEE DOI 1208
Scaling segmentation maps to higher resolution. BibRef

Zhou, D., Shen, X., Dong, W.,
Image zooming using directional cubic convolution interpolation,
IET-IPR(6), No. 6, 2012, pp. 627-634.
DOI Link 1210
BibRef

Vedadi, F.[Farhang], Shirani, S.[Shahram],
A MAP-Based Image Interpolation Method via Viterbi Decoding of Markov Chains of Interpolation Functions,
IP(23), No. 1, January 2014, pp. 424-438.
IEEE DOI 1402
BibRef
Earlier:
Image resolution up-conversion via maximum a posteriori interpolator sequence estimation and Viterbi algorithm,
ICIP12(881-884).
IEEE DOI 1302
Markov processes
See also De-Interlacing Using Nonlocal Costs and Markov-Chain-Based Estimation of Interpolation Methods. BibRef

Dumedah, G., Walker, J.P., Rudiger, C.,
Can SMOS Data be Used Directly on the 15-km Discrete Global Grid?,
GeoRS(52), No. 5, May 2014, pp. 2538-2544.
IEEE DOI 1403
SMOS: Soil Moisture and Ocean Salinity mission. Brightness temperature. Can you use at higher resolution. BibRef

Zeinali, M., Ghassemian, H., Moghaddasi, M.N.,
A New Magnification Method for RGB Color Images Based on Subpixels Decomposition,
SPLetters(21), No. 5, May 2014, pp. 577-580.
IEEE DOI 1404
image classification BibRef

Cha, Y., Lee, G., Kim, S.,
Image Zooming by Curvature Interpolation and Iterative Refinement,
SIIMS(7), No. 2, 2014, pp. 1284-1308.
DOI Link 1407
BibRef

Maiseli, B.[Baraka], Elisha, O.[Ogada], Mei, J.Y.[Jiang-Yuan], Gao, H.J.[Hui-Jun],
Edge preservation image enlargement and enhancement method based on the adaptive Perona-Malik non-linear diffusion model,
IET-IPR(8), No. 12, 2014, pp. 753-760.
DOI Link 1412
diffusion BibRef

Maiseli, B.J.[Baraka Jacob], Ally, N.[Nassor], Gao, H.J.[Hui-Jun],
A noise-suppressing and edge-preserving multiframe super-resolution image reconstruction method,
SP:IC(34), No. 1, 2015, pp. 1-13.
Elsevier DOI 1505
Convex optimization BibRef

Maiseli, B.J.[Baraka Jacob],
Diffusion-steered super-resolution method based on the Papoulis-Gerchberg algorithm,
IET-IPR(10), No. 10, 2016, pp. 683-692.
DOI Link 1610
image denoising BibRef

Maiseli, B.J.[Baraka J.], Elisha, O.[Ogada], Gao, H.J.[Hui-Jun],
A multi-frame super-resolution method based on the variable-exponent nonlinear diffusion regularizer,
JIVP(2015), No. 1, 2015, pp. 22.
DOI Link 1508
BibRef

Guo, S.M.[Shu-Mei], Hsu, C.Y.[Chih-Yuan], Kuo, G.H.[Gia-Hao], Tsai, J.S.H.,
Fast large-scale image enlargement method with a novel evaluation approach: benchmark function-based peak signal-to-noise ratio,
IET-IPR(9), No. 5, 2015, pp. 358-368.
DOI Link 1506
discrete cosine transforms BibRef

Zhao, Y.[Yang], Wang, R.G.[Rong-Gang], Wang, W.M.[Wen-Min], Gao, W.[Wen],
High Resolution Local Structure-Constrained Image Upsampling,
IP(24), No. 11, November 2015, pp. 4394-4407.
IEEE DOI 1509
image resolution BibRef

Zhao, Y.[Yang], Wang, R.G.[Rong-Gang], Wang, W.M.[Wen-Min], Gao, W.[Wen],
Multilevel Modified Finite Radon Transform Network for Image Upsampling,
CirSysVideo(26), No. 12, December 2016, pp. 2189-2199.
IEEE DOI 1612
Dictionaries BibRef

Chae, J.K.[Jin-Kee], Lee, J.Y.[Jae-Yung], Lee, M.H.[Min-Ho], Han, J.K.[Jong-Ki], Nguyen, T.Q., Yeo, W.Y.[Woon-Young],
Cubic Convolution Scaler Optimized for Local Property of Image Data,
IP(24), No. 12, December 2015, pp. 4796-4809.
IEEE DOI 1512
convolution BibRef

Choi, J., Kim, M.,
Super-Interpolation With Edge-Orientation-Based Mapping Kernels for Low Complex 2-times Upscaling,
IP(25), No. 1, January 2016, pp. 469-483.
IEEE DOI 1601
Dictionaries BibRef

Bredies, K.[Kristian], Holler, M.[Martin],
A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part I: Analytics,
SIIMS(8), No. 4, 2015, pp. 2814-2850.
DOI Link 1601
BibRef
Earlier:
A TGV Regularized Wavelet Based Zooming Model,
SSVM13(149-160).
Springer DOI 1305

See also Total Generalized Variation. BibRef

Bredies, K.[Kristian], Holler, M.[Martin],
A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part II: Numerics,
SIIMS(8), No. 4, 2015, pp. 2851-2886.
DOI Link 1601
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Bredies, K.[Kristian],
Recovering Piecewise Smooth Multichannel Images by Minimization of Convex Functionals with Total Generalized Variation Penalty,
Optimization11(44-77).
Springer DOI 1405
BibRef

Pang, J.H.[Jia-Hao], Fang, L.[Lu], Zeng, J.[Jin], Guo, Y.F.[Yuan-Fang], Tang, K.[Ketan],
Subpixel-Based Image Scaling for Grid-like Subpixel Arrangements: A Generalized Continuous-Domain Analysis Model,
IP(25), No. 3, March 2016, pp. 1017-1032.
IEEE DOI 1602
brightness BibRef

Cheon, M.[Manri], Lee, J.S.[Jong-Seok],
Evaluation of objective quality metrics for multidimensional video scalability,
JVCIR(35), No. 1, 2016, pp. 132-145.
Elsevier DOI 1602
Quality of experience (QoE) BibRef

Hao, F.[Fei], Shi, J.F.[Jin-Fei], Chen, R.[Ruwen], Zhu, S.Q.[Song-Qing], Zhang, Z.S.[Zhi-Sheng],
Noise-insensitive and edge-preserving resolution upconversion scheme for digital image based on the spatial general autoregressive model,
IET-IPR(10), No. 4, 2016, pp. 280-288.
DOI Link 1604
autoregressive processes BibRef

Hidane, M., El Gheche, M., Aujol, J.F., Berthoumieu, Y., Deledalle, C.A.,
Image Zoom Completion,
IP(25), No. 8, August 2016, pp. 3505-3517.
IEEE DOI 1608
image resolution BibRef

Chen, Q., Sun, H., Zhang, X., Tao, H., Yang, J., Zhao, J., Zheng, N.,
Algorithm and VLSI Architecture of Edge-Directed Image Upscaling for 4k Display System,
CirSysVideo(26), No. 9, September 2016, pp. 1758-1771.
IEEE DOI 1609
Estimation BibRef

Acharya, A.[Aditya], Meher, S.[Sukadev],
Efficient fuzzy composite predictive scheme for effectual 2-D up-sampling of images for multimedia applications,
JVCIR(44), No. 1, 2017, pp. 156-186.
Elsevier DOI 1703
Up-scaling BibRef

Moon, B.[Byeongho], Yu, S.[Soohwan], Ko, S.Y.[Seung-Yong], Park, S.[Seonhee], Paik, J.[Joonki],
Continuous digital zooming using local self-similarity-based super-resolution for an asymmetric dual camera system,
JOSA-A(34), No. 6, June 2017, pp. 991-1003.
DOI Link 1706
Image processing, Digital image processing, Image reconstruction-restoration, Superresolution, Imaging, systems BibRef

Maiero, J.[Jens], Kruijff, E.[Ernst], Hinkenjann, A.[André], Ghinea, G.[Gheorghita],
Focus-Plus-Context Techniques for Picoprojection-Based Interaction,
MultMed(19), No. 7, July 2017, pp. 1521-1530.
IEEE DOI 1706
Zooming interface. Augmented reality, Brightness, Context, Image resolution, Lenses, Mobile communication, Visualization, Focus plus context, projection based systems, spatial augmented reality, zooming, interfaces BibRef

Choi, D.Y.[Dong Yoon], Song, B.C.[Byung Cheol],
Fast super-resolution algorithm using rotation-invariant ELBP classifier and hierarchical pattern matching,
JVCIR(48), No. 1, 2017, pp. 1-15.
Elsevier DOI 1708
BibRef
Earlier:
Fast super-resolution algorithm using ELBP classifier,
VCIP15(1-4)
IEEE DOI 1605
Reconstruction. FIR filters, Reconstruction, classification, super-resolution, up-scaling BibRef

Li, J.Z.[Jing-Zhong], Ai, T.H.[Ting-Hua], Liu, P.C.[Peng-Cheng], Yang, M.[Min],
Continuous Scale Transformations of Linear Features Using Simulated Annealing-Based Morphing,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Mandanas, F.[Fotios], Kotropoulos, C.[Constantine],
M-estimators for robust multidimensional scaling employing L2,1 norm regularization,
PR(73), No. 1, 2018, pp. 235-246.
Elsevier DOI 1709
Multidimensional, scaling BibRef

Liu, C.[Ce], Torralba, A.B.[Antonio B.], Freeman, W.T.[William T.], Durand, F.[Fredo], Adelson, E.H.[Edward H.],
Motion magnification,
TOG(24), No. 3, 2005, pp. 519-526.
PDF File. 1711
BibRef

Elgharib, M.A.[Mohamed A.], Hefeeda, M.[Mohamed], Durand, F.[Fredo], Freeman, W.T.[William T.],
Video magnification in presence of large motions,
CVPR15(4119-4127)
IEEE DOI 1510
BibRef

Wadhwa, N.[Neal], Rubinstein, M.[Michael], Durand, F.[Frédo], Freeman, W.T.[William T.],
Phase-based Video Motion Processing,
TOG(32), No. 4, 2013.
PDF File. BibRef 1300

Wadhwa, N., Rubinstein, M., Durand, F.[Fredo], Freeman, W.T.[William T.],
Riesz pyramids for fast phase-based video magnification,
ICCP14(1-10)
IEEE DOI 1411
image sequences BibRef

Rubinstein, M.[Michael], Wadhwa, N.[Neal], Durand, F.[Frédo], Freeman, W.T.[William T.],
Revealing Invisible Changes In The World,
Science(339), No. 6119, February 1, 2013.
WWW Link. BibRef 1302

Fahmy, G.[Gamal], Fahmy, M.F.[Mamdouh F.], Fahmy, O.M.[Omar M.],
Micro-movement magnification in video signals using complex wavelet analysis,
IET-IPR(11), No. 11, November 2017, pp. 986-993.
DOI Link 1711
Reverse of stabilization.
See also Motion magnification. BibRef

Fahmy, O.M.[Omar M.], Fahmy, G.[Gamal], Fahmy, M.F.[Mamdouh F.],
A new video magnification technique using complex wavelets with Radon transform application,
SIViP(12), No. 8, November 2018, pp. 1505-1512.
WWW Link. 1809
BibRef

Su, Z.[Zhuo], Li, L.Y.[Lang-Yu], Li, J.H.[Jian-Hong], Luo, X.N.[Xiao-Nan],
Maximised self-similarity upsampler,
IET-IPR(11), No. 12, Decmeber 2017, pp. 1229-1237.
DOI Link 1712
BibRef

Meng, X., Zhang, Z., Geng, Z., Zhang, M.,
MRF-Based Disparity Upsampling Using Stereo Confidence Evaluations,
SPLetters(25), No. 4, April 2018, pp. 561-565.
IEEE DOI 1804
Markov processes, image matching, image resolution, image sampling, stereo image processing, MRF-based disparity upsampling, three-dimensional (3-D) reconstruction BibRef

Al-Naji, A.[Ali], Lee, S.H.[Sang-Heon], Chahl, J.[Javaan],
An efficient motion magnification system for real-time applications,
MVA(29), No. 4, May 2018, pp. 585-600.
WWW Link. 1805
BibRef

Hung, K.W.[Kwok-Wai], Wang, K.[Kun], Jiang, J.M.[Jian-Min],
Image up-sampling using deep cascaded neural networks in dual domains for images down-sampled in DCT domain,
JVCIR(56), 2018, pp. 144-149.
Elsevier DOI 1811
DCT up-sampling, Interpolation, Super-resolution, Deep neural networks BibRef

Chen, C.H.[Ching-Han], Chang, H.W.[Hsiang-Wen], Kuo, C.M.[Chia-Ming],
VLSI implementation of anisotropic probabilistic neural network for real-time image scaling,
RealTimeIP(16), No. 1, February 2019, pp. 71-80.
WWW Link. 1902
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Xu, J.[Jian], Li, M.[Meng], Fan, J.[Jiulun], Xie, W.[Wen],
Discarding jagged artefacts in image upscaling with total variation regularisation,
IET-IPR(13), No. 13, November 2019, pp. 2495-2506.
DOI Link 1911
BibRef

Ngo, A.C.L.[Anh Cat Le], Phan, R.C.W.[Raphael C.W.],
Seeing the Invisible: Survey of Video Motion Magnification and Small Motion Analysis,
Surveys(52), No. 6, October 2019, pp. xx-yy.
DOI Link 2001
Survey, Motion Magnification. Eulerian, motion representation, Motion magnification, Lagrangian, motion extraction, video motion, small motion BibRef

Qiao, Y.G.[Yi-Guo], Jiao, L.C.[Li-Cheng], Tang, X.[Xu], Li, W.B.[Wen-Bin], Cosker, D.[Darren],
High-quality depth up-sampling via a supervised classification guided MRF model,
PRL(138), 2020, pp. 315-320.
Elsevier DOI 1806
Markov random fields, -means clustering, -NN, Supervised classification, Gradient descent algorithm BibRef

Zhang, L.[Long], Yang, X.Z.[Xue-Zhi],
Video Magnification under the Presence of Complex Background Motions,
IEICE(E104-D), No. 6, June 2021, pp. 909-914.
WWW Link. 2106
BibRef

Yang, Y.F.[Yi-Fan], Li, Q.[Qi], Yu, Y.Y.[Yong-Yi], He, Z.[Zhuang], Feng, H.J.[Hua-Jun], Xu, Z.H.[Zhi-Hai], Chen, Y.T.[Yue-Ting],
Continuous digital zooming using generative adversarial networks for dual camera system,
IET-IPR(15), No. 12, 2021, pp. 2880-2890.
DOI Link 2109
BibRef

Zhou, Y.[Yang], Xu, Y.Y.[Yang-Yang], Du, Y.[Yong], Wen, Q.[Qiang], He, S.F.[Sheng-Feng],
Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs for Photo Upsampling,
IP(31), 2022, pp. 1230-1242.
IEEE DOI 2202
Codes, Semantics, Faces, Generators, Training, Superresolution, Space exploration, Photo upsampling, GANs, progressive learning, latent space BibRef

Liu, X.H.[Xin-Hai], Liu, X.C.[Xin-Chen], Liu, Y.S.[Yu-Shen], Han, Z.Z.[Zhi-Zhong],
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction With Self-Projection Optimization,
IP(31), 2022, pp. 4213-4226.
IEEE DOI 2207
Point cloud compression, Feature extraction, Surface reconstruction, Deep learning, Shape, Optimization, self-projection BibRef

Yu, L.[Li], Chang, W.[Wenshuai], Quan, W.[Weize], Xiao, J.[Jimin], Yan, D.M.[Dong-Ming], Gabbouj, M.[Moncef],
Neural texture transfer assisted video coding with adaptive up-sampling,
SP:IC(107), 2022, pp. 116754.
Elsevier DOI 2208
High-efficiency video coding (HEVC), Reference-based super-resolution, Low bitrate, Machine learning BibRef

Esmaeili, V.[Vida], Feghhi, M.M.[Mahmood Mohassel], Shahdi, S.O.[Seyed Omid],
Spotting micro-movements in image sequence by introducing intelligent cubic-LBP,
IET-IPR(16), No. 14, 2022, pp. 3814-3830.
DOI Link 2212
motion magnification BibRef

Xiao, L.F.[Li-Fang], Jin, D.[Dacong], Cheng, Y.[Yali], Luo, M.Y.[Ming-Yang],
Fractional Differential-Interpolation Combined Image Amplification Algorithm,
ICRVC22(175-179)
IEEE DOI 2301
Interpolation, Differential operators, Image processing, Image edge detection, interpolation, image magnification BibRef

Lu, H.[Hao], Liu, W.Z.[Wen-Ze], Fu, H.T.[Hong-Tao], Cao, Z.G.[Zhi-Guo],
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling,
ECCV22(XXVII:231-247).
Springer DOI 2211
BibRef

Xiang, X.Y.[Xiao-Yu], Tian, Y.[Yapeng], Rengarajan, V.[Vijay], Young, L.D.[Lucas D.], Zhu, B.[Bo], Ranjan, R.[Rakesh],
Learning Spatio-Temporal Downsampling for Effective Video Upscaling,
ECCV22(XVIII:162-181).
Springer DOI 2211
BibRef

Takeda, S.[Shoichiro], Niwa, K.[Kenta], Isogawa, M.[Mariko], Shimizu, S.[Shinya], Okami, K.[Kazuki], Aono, Y.[Yushi],
Bilateral Video Magnification Filter,
CVPR22(17348-17357)
IEEE DOI 2210
Band-pass filters, Laplace equations, Filtering, Dynamics, Pattern recognition, Passband, Low-level vision, Image and video synthesis and generation BibRef

Khakhulin, T., Korzhenkov, D., Solovev, P., Sterkin, G., Ardelean, A.T., Lempitsky, V.,
Stereo Magnification with Multi-Layer Images,
CVPR22(8677-8686)
IEEE DOI 2210
Geometry, Image color analysis, Shape, Rendering (computer graphics), Real-time systems, Vision + graphics BibRef

Kim, S.Y.[Soo Ye], Aberman, K.[Kfir], Kanazawa, N.[Nori], Garg, R.[Rahul], Wadhwa, N.[Neal], Chang, H.[Huiwen], Karnad, N.[Nikhil], Kim, M.C.[Mun-Churl], Liba, O.[Orly],
Zoom-to-Inpaint: Image Inpainting with High-Frequency Details,
NTIRE22(476-486)
IEEE DOI 2210
Training, Deep learning, Modular construction, Superresolution, Refining, Neural networks BibRef

Klopp, J.P.[Jan P.], Liu, K.C.[Keng-Chi], Chien, S.Y.[Shao-Yi], Chen, L.G.[Liang-Gee],
Online-trained Upsampler for Deep Low Complexity Video Compression,
ICCV21(7909-7918)
IEEE DOI 2203
Deep learning, Codecs, Superresolution, Neural networks, Video compression, Encoding, Decoding, Image and video synthesis BibRef

Talebi, H.[Hossein], Milanfar, P.[Peyman],
Learning to Resize Images for Computer Vision Tasks,
ICCV21(487-496)
IEEE DOI 2203
Training, Measurement, Adaptation models, Visualization, Computational modeling, Machine vision, Computational photography BibRef

Liang, J.Y.[Jing-Yun], Lugmayr, A.[Andreas], Zhang, K.[Kai], Danelljan, M.[Martin], Van Gool, L.J.[Luc J.], Timofte, R.[Radu],
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling,
ICCV21(4056-4065)
IEEE DOI 2203
Measurement, Training, Visualization, Superresolution, Task analysis, Faces, Low-level and physics-based vision, BibRef

Belharbi, S.[Soufiane], Sarraf, A.[Aydin], Pedersoli, M.[Marco], Ben Ayed, I.[Ismail], McCaffrey, L.[Luke], Granger, E.[Eric],
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling,
WACV22(3727-3736)
IEEE DOI 2202
Location awareness, Training, Interpolation, Visualization, Image resolution, Computer architecture, Decoding, Object Detection/Recognition/Categorization weakly supervised object localization BibRef

Gat, N.[Noam], Benaim, S.[Sagie], Wolf, L.B.[Lior B.],
Identity and Attribute Preserving Thumbnail Upscaling,
ICIP21(2708-2712)
IEEE DOI 2201
Image resolution, Image recognition, Face recognition, Feature extraction, Task analysis, Facial features, Generation BibRef

Huang, Y.C.[Yan-Cheng], Chen, Y.H.[Yi-Hsin], Lu, C.Y.[Cheng-You], Wang, H.P.[Hui-Po], Peng, W.H.[Wen-Hsiao], Huang, C.C.[Ching-Chun],
Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling,
CVPR21(3526-3535)
IEEE DOI 2111
Couplings, Computational modeling, Neural networks, Computer architecture, Pattern recognition, Task analysis BibRef

Menon, S., Damian, A., Hu, S., Ravi, N., Rudin, C.,
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models,
CVPR20(2434-2442)
IEEE DOI 2008
Image resolution, Face, Training, Task analysis, Manifolds, Measurement BibRef

Zhang, X.[Xuaner], Chen, Q.F.[Qi-Feng], Ng, R.[Ren], Koltun, V.[Vladlen],
Zoom to Learn, Learn to Zoom,
CVPR19(3757-3765).
IEEE DOI 2002
BibRef

He, J.W.[Jing-Wen], Dong, C.[Chao], Qiao, Y.[Yu],
Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers,
CVPR19(11048-11056).
IEEE DOI 2002
BibRef

Takeda, S.[Shoichiro], Akagi, Y.[Yasunori], Okami, K.[Kazuki], Isogai, M.[Megumi], Kimata, H.[Hideaki],
Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution,
CVPR19(1614-1622).
IEEE DOI 2002
BibRef

Turek, J.S., Huth, A.G.,
Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling,
CVPR18(2850-2858)
IEEE DOI 1812
Sparse matrices, Interpolation, Manifolds, Matrix decomposition, Memory management, Approximation algorithms, Geometry BibRef

Recasens, A.[Adrià], Kellnhofer, P.[Petr], Stent, S.[Simon], Matusik, W.[Wojciech], Torralba, A.B.[Antonio B.],
Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks,
ECCV18(IX: 52-67).
Springer DOI 1810
BibRef

Chen, Y., Yu, L., Wang, S.,
An improved MRF model for robust color guided depth up-sampling,
VCIP17(1-4)
IEEE DOI 1804
Markov processes, image colour analysis, image texture, depth discontinuity, depth map, improved MRF model, texture copy artifacts BibRef

Verma, M.[Manisha], Raman, S.[Shanmuganathan],
Interest Region Based Motion Magnification,
CIAP17(I:27-39).
Springer DOI 1711
BibRef

Zhang, Y.C.[Yi-Chao], Pintea, S.L.[Silvia L.], van Gemert, J.C.[Jan C.],
Video Acceleration Magnification,
CVPR17(502-510)
IEEE DOI 1711
Acceleration, Cameras, Feature extraction, Laplace equations, Linearity, Taylor series, Tracking BibRef

Pujades, S., Devernay, F., Boiron, L., Ronfard, R.,
The Stereoscopic Zoom,
CCD17(1295-1304)
IEEE DOI 1709
Cameras, Lenses, Optical imaging, Rendering (computer graphics), Stereo image processing, Two, dimensional, displays BibRef

Fu, X.Y.[Xiang-Yi], Zhou, F.[Fei], Liao, Q.M.[Qing-Min],
Image amplification based on pixel-splitting,
ICIP14(3919-3923)
IEEE DOI 1502
Belts BibRef

Somawirata, I.K.[I Komang], Uchimura, K.[Keiichi], Koutaki, G.[Gou],
Single image enlargement based on kernel estimation and linear weighting,
FCV13(174-178).
IEEE DOI 1304
BibRef

Prelee, M.A.[Matthew A.], Neuhoff, D.L.[David L.],
Image interpolation from Manhattan cutset samples via orthogonal gradient method,
ICIP14(1842-1846)
IEEE DOI 1502
Image edge detection BibRef

Prelee, M.A.[Matthew A.], Neuhoff, D.L.[David L.], Pappas, T.N.[Thrasyvoulos N.],
Image reconstruction from a Manhattan grid via piecewise plane fitting and Gaussian Markov random fields,
ICIP12(2061-2064).
IEEE DOI 1302
interpolate to get interior pixels. BibRef

Fan, T.[Tao], Zhao, H.W.[Hai-Wu], Wang, G.Z.[Guo-Zhong], Chen, J.W.[Jian-Wen], Xu, F.[Feng], Villasenor, J.[John],
An adaptive covariance-based edge diffusion image enlargement method,
VCIP12(1-6).
IEEE DOI 1302
BibRef

Veksler, O.[Olga],
Dynamic Programming for Approximate Expansion Algorithm,
ECCV12(III: 850-863).
Springer DOI 1210
BibRef

HaCohen, Y., Fattal, R., Lischinski, D.,
Image upsampling via texture hallucination,
ICCP10(1-8).
IEEE DOI 1208
BibRef

Wang, R.S.[Rui-Sheng], Bach, J.[Jeff], Macfarlane, J.[Jane], Ferrie, F.P.[Frank P.],
A new upsampling method for mobile LiDAR data,
WACV12(17-24).
IEEE DOI 1203

See also Window detection from mobile LiDAR data.
See also Camera localization and building reconstruction from single monocular images. BibRef

Chen, W.C.[Wei-Chi], Lee, M.S.[Ming-Sui],
A low-complexity upsampling technique for H.264,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Joshi, S.H.[Shantanu H.], Marquina, A.L.[Antonio L.], Osher, S.J.[Stanley J.], Dinov, I.D.[Ivo D.], Toga, A.W.[Arthur W.], van Horn, J.D.[John D.],
Fast edge-filtered image upsampling,
ICIP11(1165-1168).
IEEE DOI 1201
BibRef

Pan, G.[Gang], Li, W.S.[Wei-Shu], Bai, W.[Wei], Chen, J.Y.[Jin-Yan], Li, L.Y.[Lu-Yuan],
Reverse Seam Carving,
ICIG11(50-55).
IEEE DOI 1109
Content aware resizing (reduction and expansion). BibRef

Yan, X.[Xing], Shen, J.B.[Jian-Bing],
Fast gradient-aware upsampling for cartoon video,
IASP10(636-639).
IEEE DOI 1004
BibRef

Yong, T.F.[Tien Fui], Choo, W.O.[Wou Onn], Kok, H.M.[Hui Meian],
Color Image Magnification: Geometrical Pattern Classification Approach,
IVIC09(619-626).
Springer DOI 0911
BibRef

Ekmekcioglu, E.[Erhan], Mrak, M.[Marta], Worrall, S.T.[Stewart T.], Kondoz, A.M.[Ahmet M.],
Utilisation of edge adaptive upsampling in compression of depth map videos for enhanced free-viewpoint rendering,
ICIP09(733-736).
IEEE DOI 0911
BibRef

Du, H.Q.[Hui-Qian], Mei, W.B.[Wen-Bo],
Image Resizing Using Exponential B-Spline Functions,
CISP09(1-5).
IEEE DOI 0910
BibRef

Jia, X.J.[Xiao-Jun],
A Method of Image Enlargement Based on Constrained Pixels,
CISP09(1-5).
IEEE DOI 0910
BibRef

Frucci, M.[Maria], Arcelli, C.[Carlo], Sanniti di Baja, G.[Gabriella],
An Automatic Image Scaling Up Algorithm,
MCPR12(35-44).
Springer DOI 1208
BibRef
Earlier: A2, A1, A3:
A New Technique for Image Magnification,
CIAP09(53-61).
Springer DOI 0909
BibRef

Ramachandra, V.[Vikas], Patti, A.J.[Andrew J.],
Motion-compensated deblocking and upscaling for viewing low-res videos on high-res displays,
ICIP08(3176-3179).
IEEE DOI 0810
BibRef

Bourquard, A., Thevenaz, P., Balac, K., Unser, M.,
Consistent and regularized magnification of images,
ICIP08(325-328).
IEEE DOI 0810
BibRef

Hirabayashi, A.[Akira], Condat, L.[Laurent],
A Compact Image Magnification Method with Preservation of Preferential Components,
ICIP07(V: 385-388).
IEEE DOI 0709
BibRef

Akgun, T.[Toygar], Altunbasak, Y.[Yucel],
A Coupled Feature-Filter Clustering Scheme for Resolution Synthesis,
ICIP07(V: 405-408).
IEEE DOI 0709
BibRef

Ebrahimi, M.[Mehran], Vrscay, E.R.[Edward R.],
Solving the Inverse Problem of Image Zooming Using 'Self-Examples',
ICIAR07(117-130).
Springer DOI 0708
BibRef

Luong, H.Q.[Hiêp Quang], Goossens, B.[Bart], Philips, W.[Wilfried],
Image Upscaling Using Global Multimodal Priors,
ACIVS07(473-484).
Springer DOI 0708

See also Non-Local Text Image Reconstruction. BibRef

Luong, H.Q.[Hiêp Quang], Philips, W.[Wilfried],
Reconstruction of Low-Resolution Images Using Adaptive Bimodal Priors,
ICIAR07(69-80).
Springer DOI 0708
BibRef

Shi, J.Z.[Jia-Zheng], Reichenbach, S.E.,
Spatially Constrained Wiener Filter with Markov Autocorrelation Modeling for Image Resolution Enhancement,
ICIP06(2681-2684).
IEEE DOI 0610
BibRef

Kakukou, N., Ogawa, T., Haseyama, M., Kitajima, H.,
An Accurate IFS-Based Image Enlargement Method using Line Process,
ICIP06(2701-2704).
IEEE DOI 0610
BibRef

Marques, M.[Manuel], Neves, A.[Alexandre], Marques, J.S.[Jorge S.], Sanches, J.M.[João M.],
The Papoulis-Gerchberg Algorithm with Unknown Signal Bandwidth,
ICIAR06(I: 436-445).
Springer DOI 0610
Papoulis-Gerchberg for missing data in low pass signals. BibRef

Rabaud, V., Belongie, S.,
Big Little Icons,
VisImpaired05(III: 24-24).
IEEE DOI 0507
super-resolution to exploit icon design to expand them. BibRef

Belahmidi, A., Guichard, F.,
A partial differential equation approach to image zoom,
ICIP04(I: 649-652).
IEEE DOI 0505
BibRef

Hentschel, C.,
Generic method for 2D image resizing with non-separable filters,
ICIP04(III: 1653-1656).
IEEE DOI 0505
BibRef

Morse, B.S.[Bryan S.], and Schwartzwald, D.[Duane],
Image Magnification Using Level-Set Reconstruction,
CVPR01(I:333-340).
IEEE DOI 0110
BibRef
Earlier:
Isophote-based interpolation,
ICIP98(III: 227-231).
IEEE DOI 9810
Produces sharp, smooth contours. BibRef

Nicolier, F.,
Image Magnification Using Decimated Orthogonal Wavelet Transform,
ICIP00(Vol II: 355-358).
IEEE DOI 0008
BibRef

Siebert, A.[Andreas],
A differential invariant for zooming,
ICIP99(III:508-512).
IEEE DOI BibRef 9900

Ratakonda, K.[Krishna], Ahuja, N.[Narendra],
POCS based adaptive image magnification,
ICIP98(III: 203-207).
IEEE DOI 9810
BibRef
Earlier:
Super Resolution with Region Sensitive Interpolation,
DARPA97(537-540). BibRef

Oraintara, S., Nguyen, T.Q.,
Image/video scaling algorithm based on multirate signal processing,
ICIP98(II: 732-736).
IEEE DOI 9810
BibRef

Martucci, S.A.,
Image resizing in the discrete cosine transform domain,
ICIP95(II: 244-247).
IEEE DOI 9510
BibRef

Marino, F.[Francescomaria], Mastronardi, G.[Giuseppe],
Quality enhancement in image enlargement,
CIAP95(435-440).
Springer DOI 9509
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Image Manipulation, Image Interpolation -- Interpolation Operations .