19.4.3.15 Super Resolution, Survey, Evaluation, Overviews

Chapter Contents (Back)
Survey, Super Resolution. Super Resolution.

Salient Stills,
2003. Company that turns video into still images, the market is newspapers. Take a 640X480 video and generate a 3KX2K still image.
WWW Link.
See also Salient Video Stills: Content and Context Preserved.

Almalence Incorporated,
2005. Sells PhotoAcute Studio.
WWW Link. Vendor, Superresolution. Create high resolution images. Also an HDR product.

Strohl, G.E., Parrish, Jr., E.A.,
A model for evaluating the effectiveness of resolution enhancement algorithms,
PR(3), No. 3, October 1971, pp. 325-330.
Elsevier DOI 0309
BibRef

Hunt, B.R.,
Superresolution of images: algorithms, principles, performance,
IJIST(6), No. 4, Winter 1995, pp. 297-304. Subpixel edges. BibRef 9500

Miller, C.[Casey], Hunt, B.R., Kendrick, R.L., Duncan, A.L.,
Reconstruction and Super-Resolution of Dilute Aperture Imagery,
ICIP96(I: 697-699).
IEEE DOI BibRef 9600

Keightley, D., Hunt, B.R.,
A rigid POCS extension to a Poisson super-resolution algorithm,
ICIP95(II: 508-511).
IEEE DOI 9510
BibRef

Chaudhuri, S.[Subhasis],
Super-Resolution Imaging,
KluwerSeptember 2001, ISBN 0-7923-7471-1
WWW Link. BibRef 0109

Leizerson, I., Lipson, S.G., Sarafis, V.,
Superresolution in far-field imaging,
JOSA-A(19), No. 3, March 2002, pp. 436-443.
WWW Link. 0204
BibRef

Baker, S.[Simon], Kanade, T.[Takeo],
Limits on Super-Resolution and How to Break Them,
PAMI(24), No. 9, September 2002, pp. 1167-1183.
IEEE Abstract. 0209
BibRef
Earlier: CVPR00(II: 372-379).
IEEE DOI 0005
Super-resolution based on the constraint that the SR image should generate the input image with appropriate warping and downsampling. Add new constraint, atempt to recognize features and enhance their appearance. BibRef

Baker, S., and Kanade, T.,
Super Resolution Optical Flow,
CMU-RI-TR-99-36, October, 1999.
HTML Version. BibRef 9910

Liu, H.T.[Hai-Tao], Yan, Y.B.[Ying-Bai], Tan, Q.F.[Qiao-Feng], Jin, G.F.[Guo-Fan],
Theories for the design of diffractive superresolution elements and limits of optical superresolution,
JOSA-A(19), No. 11, November 2002, pp. 2185-2193.
WWW Link. 0211
BibRef

Liu, H.T.[Hai-Tao], Yan, Y.[Yingbai], Yi, D.[Deer], Jin, G.[Guofan],
Theories for the design of a hybrid refractive-diffractive superresolution lens with high numerical aperture,
JOSA-A(20), No. 5, May 2003, pp. 913-924.
WWW Link. 0307
BibRef

Lin, Z.C.[Zhou-Chen], Shum, H.Y.[Heung-Yeung],
Fundamental limits of reconstruction-based superresolution algorithms under local translation,
PAMI(26), No. 1, January 2004, pp. 83-97.
IEEE Abstract. 0401
BibRef
And: Response to comments: PAMI(28), No. 5, May 2006, pp. 847-847.
IEEE DOI 0604
BibRef
Earlier:
On the Fundamental Limits of Reconstruction-Based Super-resolution Algorithms,
CVPR01(I:1171-1176).
IEEE DOI 0110
Reconstruction-Based: simulate the image formation process. Conclusion seems to be that the limit is 1.6X, though 5.7X under synthetic conditions. To achieve real gains use recognition-based algorithms. BibRef

Wang, L.W.[Li-Wei], Feng, J.F.[Ju-Fu],
Comments on 'Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation',
PAMI(28), No. 5, May 2006, pp. 846-846.
IEEE DOI 0604
BibRef

Schultz, R.R.,
Super-resolution enhancement of native digital video versus digitized NTSC sequences,
Southwest02(193-197).
IEEE Top Reference. 0208
BibRef

Robinson, D., Milanfar, P.[Peyman],
Statistical Performance Analysis of Super-Resolution,
IP(15), No. 6, June 2006, pp. 1413-1428.
IEEE DOI 0606
BibRef

Farsiu, S.[Sina], Robinson, D.[Dirk], Elad, M.[Michael], Milanfar, P.[Peyman],
Advances and challenges in super-resolution,
IJIST(14), No. 2, 2004, pp. 47-57.
DOI Link 0408
BibRef

Choi, E.[Euncheol], Choi, J.[Jongseong], Kang, M.G.[Moon Gi],
Super-resolution approach to overcome physical limitations of imaging sensors: An overview,
IJIST(14), No. 2, 2004, pp. 36-46.
DOI Link 0408
BibRef

van Ouwerkerk, J.D.,
Image super-resolution survey,
IVC(24), No. 10, 1 October 2006, pp. 1039-1052.
Elsevier DOI 0609
Survey, Super Resolution. Single frame BibRef

Shieh, H.M.[Hsin M.], Byrne, C.L.[Charles L.], Fiddy, M.A.[Michael A.],
Image reconstruction: a unifying model for resolution enhancement and data extrapolation. Tutorial,
JOSA-A(23), No. 2, February 2006, pp. 258-266.
WWW Link. 0610
BibRef

Shieh, H.M.[Hsin M.], Byrne, C.L.[Charles L.], Testorf, M.E.[Markus E.], Fiddy, M.A.[Michael A.],
Iterative image reconstruction using prior knowledge,
JOSA-A(23), No. 6, June 2006, pp. 1292-1300.
WWW Link. 0610
BibRef

Shieh, H.M.[Hsin M.], Byrne, C.L.[Charles L.],
Image reconstruction from limited Fourier data,
JOSA-A(23), No. 11, November 2006, pp. 2732-2736.
WWW Link. 0801
BibRef

Shieh, H.M.[Hsin M.], Hsu, Y.C.[Yu-Ching], Byrne, C.L.[Charles L.], Fiddy, M.A.[Michael A.],
Resolution enhancement of imaging small-scale portions in a compactly supported function,
JOSA-A(27), No. 2, February 2010, pp. 141-150.
WWW Link. 1002
BibRef

Chaudhuri, S.[Subhasis], Joshi, M.V.[Manjunath V.],
Motion-Free Super-Resolution,
Springer2005, ISBN 978-0-387-25890-4.
WWW Link. Various methods of generating super-resolution (SR) images from a set of low-resolution images. BibRef 0500

Park, S.C., Park, M.K., and Kang, M.G.,
Super-resolution image reconstruction: a technical overview,
SPMag(20), 2003, pp. 21-36. BibRef 0300

Katsaggelos, A.K.[Aggelos K.], Mateos, J.[Javier], Molina, R.[Rafael],
Super Resolution of Images and Video,
Morgan Claypool2007. Synthesis Lectures on Image, Video, and Multimedia Processing Survey, Super Resolution.
WWW Link. BibRef 0700

Bannore, V.[Vivek],
Iterative-Interpolation Super-Resolution Image Reconstruction: A Computationally Efficient Techniqu,
Springer2009, ISBN: 978-3-642-00384-4
WWW Link. Survey, Super Resolution. Buy this book: Iterative-Interpolation Super-Resolution Image Reconstruction: A Computationally Efficient Technique (Studies in Computational Intelligence) 1010
BibRef

Milanfar, P.[Peyman], (Ed.)
Super-Resolution Imaging,
CRC PressBoca Raton, FL, September 28, 2010. ISBN: 9781439819302
WWW Link. Buy this book: Super-Resolution Imaging (Digital Imaging and Computer Vision) Code, Super-Resolution. Survey, Super-Resolution. 1010
BibRef

Tian, J.[Jing], Ma, K.K.[Kai-Kuang],
A survey on super-resolution imaging,
SIViP(5), No. 3, September 2011, pp. 329-342.
WWW Link. 1109
Survey, Super-Resolution. BibRef

Anagun, Y.[Yildiray], Isik, S.[Sahin], Seke, E.[Erol],
SRLibrary: Comparing different loss functions for super-resolution over various convolutional architectures,
JVCIR(61), 2019, pp. 178-187.
Elsevier DOI 1906
Super-resolution, Convolutional neural networks, Loss functions BibRef

Wang, Z.H.[Zhi-Hao], Chen, J.[Jian], Hoi, S.C.H.[Steven C. H.],
Deep Learning for Image Super-Resolution: A Survey,
PAMI(43), No. 10, October 2021, pp. 3365-3387.
IEEE DOI 2109
Survey, Super Resolution. Deep learning, Degradation, Animals, Benchmark testing, Measurement, Image super-resolution, deep learning, Generative adversarial nets (GAN) BibRef

Zhao, T.S.[Tie-Song], Lin, Y.T.[Yu-Ting], Xu, Y.[Yiwen], Chen, W.L.[Wei-Ling], Wang, Z.[Zhou],
Learning-Based Quality Assessment for Image Super-Resolution,
MultMed(24), 2022, pp. 3570-3581.
IEEE DOI 2207
Databases, Measurement, Labeling, Deep learning, Image quality, Convolutional neural networks, Visualization, reduced-reference BibRef

Yeganeh, H.[Hojatollah], Rostami, M.[Mohammad], Wang, Z.[Zhou],
Objective quality assessment for image super-resolution: A natural scene statistics approach,
ICIP12(1481-1484).
IEEE DOI 1302
BibRef

Liu, A.[Anran], Liu, Y.H.[Yi-Hao], Gu, J.J.[Jin-Jin], Qiao, Y.[Yu], Dong, C.[Chao],
Blind Image Super-Resolution: A Survey and Beyond,
PAMI(45), No. 5, May 2023, pp. 5461-5480.
IEEE DOI 2304
Survey, Super-Resolution. Degradation, Mathematical models, Data models, Taxonomy, Superresolution, Adaptation models, Training, Deep learning, image super-resolution BibRef

Li, X.[Xin], Dong, W.S.[Wei-Sheng], Wu, J.J.[Jin-Jian], Li, L.[Leida], Shi, G.M.[Guang-Ming],
Superresolution Image Reconstruction: Selective milestones and open problems,
SPMag(40), No. 5, July 2023, pp. 54-66.
IEEE DOI 2307
Deep learning, Analytical models, Visualization, Uncertainty, Computational modeling, Superresolution, Video signal processing, Image reconstruction BibRef


Kok, C.W., Tam, W.S.,
From Low to Super Resolution and Beyond,
VCIP20(1-2)
IEEE DOI 2102
Interpolation, Tutorials, Matlab, Digital images, Australia, Image edge detection, Consumer electronics BibRef

Jo, Y., Yang, S., Kim, S.J.,
Investigating Loss Functions for Extreme Super-Resolution,
NTIRE20(1705-1712)
IEEE DOI 2008
Generators, Image resolution, Training, Measurement, Image restoration, Task analysis BibRef

Vaezi Joze, H.R., Zharkov, I., Powell, K., Ringler, C., Liang, L., Roulston, A., Lutz, M., Pradeep, V.,
ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig,
NTIRE20(2190-2200)
IEEE DOI 2008
Cameras, Image resolution, Machine learning, Task analysis, Training, Interpolation, Benchmark testing BibRef

Nelson, K., Bhatti, A., Nahavandi, S.,
Performance Evaluation of Multi-Frame Super-Resolution Algorithms,
DICTA12(1-8).
IEEE DOI 1303
BibRef

Namboodiri, V.P.[Vinay P.], de Smet, V.[Vincent], Van Gool, L.J.[Luc J.],
Systematic evaluation of super-resolution using classification,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Laflen, J.B., Greco, C.R., Brooksby, G.W., Barrett, E.B.,
Objective performance evaluation of a moving object super-resolution system,
AIPR09(1-8).
IEEE DOI 0910
BibRef

Tian, L.[Li], Suzuki, A.[Akira], Koike, H.[Hideki],
Task-Oriented Evaluation of Super-Resolution Techniques,
ICPR10(493-498).
IEEE DOI 1008
BibRef

Yang, J.[Junlan], Schonfeld, D.[Dan],
New results on performance analysis of super-resolution image reconstruction,
ICIP09(1517-1520).
IEEE DOI 0911
BibRef

Arora, H.[Himanshu], Namboodiri, A.M.[Anoop M.],
How Much Zoom is the Right Zoom from the Perspective of Super-Resolution?,
ICCVGIP08(142-149).
IEEE DOI 0812
BibRef

Reibman, A.R., Bell, R.M., Gray, S.,
Quality assessment for super-resolution image enhancement,
ICIP06(2017-2020).
IEEE DOI 0610
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Image Manipulation -- Expansion, Zoom, Magnification .


Last update:Mar 16, 2024 at 20:36:19