Image Compression, Coding, Surveys, Evaluations and Overviews

Chapter Contents (Back)
Image Compression. Image Coding. Evaluation, Image Coding. Survey, Compression. Survey, Coding.

Brouwer, W., van Heel, A.C.S.,
Two Dimensional Coding of Optical Images,
Optica Acta(2), No. 1, 1955, pp. 49. BibRef 5500

Wholey, J.S.,
The Coding of Pictorial Data,
IT(7), April 1961, pp. 99-104. BibRef 6104

Simpson, R.S., Blackwell, C.A., Frost, W.O.,
Compendium of Redundancy Removal Processes,
AeroSys(2), No. 4, July 1966, pp. 471-474. BibRef 6607

Schreiber, W.F.,
Picture Coding,
PIEEE(55), No. 3, March 1967, pp. 320-330. BibRef 6703

Sakrison, D.J., Algazi, V.R.,
Comparison of Line-by-Line and Two-Dimensional Encoding of Images,
IT(17), No. 4, July 1971, pp. 386-398. BibRef 7107

Andrews, H.C., Tescher, A.G.,
Data Compression and Enhancement of Sampled Images,
AppOpt(11), No. 4, April 1972, pp. 919-925. BibRef 7204

Boursier, P.,
Performance Analysis of Compaction Techniques for Map Representations in Geographic databases,
Computer Graphics(6), 1982, pp. 73-81. BibRef 8200

Ram, G.[Giora],
On the Encoding and Representing of Images,
CVGIP(26), No. 2, May 1984, pp. 224-232.
Elsevier DOI BibRef 8405

Habibi, A.,
Image Coding,
HPRIP86(169-189). BibRef 8600

Kunt, M., Ikonomopoulos, A., Kocher, M.,
Second-Generation Image Coding Techniques,
PIEEE(73), No. 4, April 1985, pp. 549-574. BibRef 8504

Reid, M.M., Millar, R.J., Black, N.D.,
Second-Generation Image-Coding: An Overview,
Surveys(29), No. 1, March 1997, pp. 3-29. 9706
Survey, Compression. Given the 1985 paper above, maybe it should be third-generation. Describes properties of the human visual system that make coding work. Multiscale and pyramidal techniques, directional filters, coding using patterns, techniques using segmentation, contour-based approaches. BibRef

Gonzalez-Smith, M.E., Storer, J.A.,
Parallel Algorithms for Data Compression,
JACM(32), No. 2, April 1985, pp. 344-373. BibRef 8504

Musmann, H.G., Pirsch, P., and Grallet, H.J.,
Advances in Picture Coding,
PIEEE(73), No. 4, April 1985, pp. 523-547. BibRef 8504

Yasuda, H.[Hiroshi],
Standardization activities on multimedia coding in ISO,
SP:IC(1), No. 1, June 1990, pp. 3-16.
Elsevier DOI 0001
Still picture coding; standardization BibRef

Chen, C.T., Hsing, T.R.,
Digital Coding Techniques for Visual Communications,
JVCIR(2), 1991, pp. 1-16. BibRef 9100

Nohre, R.,
Computer Vision: Compress to Comprehend,
PRL(16), No. 7, July 1995, pp. 711-717. BibRef 9507

Wong, S., Zaremba, L., Gooden, D., Huang, H.K.,
Radiologic Image Compression: A Review,
PIEEE(83), No. 2, February 1995, pp. 194-219. BibRef 9502

Brittain, J.E.,
Scanning The Past,
PIEEE(83), No. 2, February 1995, pp. 338-338. Survey, Compression. BibRef 9502

Storer, J.A., (Ed.)
Special Section on Data Compression,
PIEEE(82), No. 6, June 1994, pp. 856-954. BibRef 9406

Kuo, C.C.J., Storer, J.A., (Eds.)
Special Issue on Still and Video Image Compression,
JVCIR(5), No. 4, December 1994, pp. 303-402. BibRef 9412

Joshi, R.L., Jafarkhani, H., Kasner, J.H., Fischer, T.R., Farvardin, N., Marcellin, M.W., Bamberger, R.H.,
Comparison of Different Methods of Classification in Subband Coding of Images,
IP(6), No. 11, November 1997, pp. 1473-1486.

Blain, M.E.[Mary E.], Fischer, T.R.[Thomas R.],
A comparison of vector quantization techniques in transform and subband coding of imagery,
SP:IC(3), No. 1, February 1991, pp. 91-105.
Elsevier DOI 0001
Vector quantization; transform coding; subband coding BibRef

Clarke, R.J.,
Image-Coding at the Crossroads,
ECEJ(9), No. 6, December 1997, pp. 242-243. 9801

Salomon, D.[David],
Data Compression: The Complete Reference,
Springer2007. ISBN 978-1-84628-602-5. Fourth Edition.
WWW Link. BibRef 0700
Earlier: Springer-Verlag: New York, 1998. ISBN 0-387-98280-9. Not just images. Missing vector quantization and MPEG. Buy this book: Data Compression: The Complete Reference BibRef

Ebrahimi, T., Kunt, M.,
Visual Data Compression for Multimedia Applications,
PIEEE(86), No. 6, June 1998, pp. 1109-1125. 9806

Algazi, V.R., Avadhanam, N., Estes, R.R.,
Quality Measurement and Use of Preprocessing in Image Compression,
SP(70), No. 3, November 1998, pp. 215-229. 9812

Eckert, M.P., Bradley, A.P.,
Perceptual Quality Metrics Applied To Still Image Compression,
SP(70), No. 3, November 1998, pp. 177-200. 9812

Haskell, B.G., Howard, P.G., Le Cun, Y.L., Puri, A., Ostermann, J., Civanlar, M.R.[M. Reha], Rabiner, L., Bottou, L., Haffner, P.,
Image and Video Coding: Emerging Standards and Beyond,
CirSysVideo(8), No. 7, November 1998, pp. 814.
IEEE Top Reference. BibRef 9811

Hovig, I.[Ingvil], Gaure, S.[Simen],
Consequences of pixel precision for compression rate and measurement,
SP:IC(9), No. 2, January 1997, pp. 137-142.
Elsevier DOI BibRef 9701

Werner, O.[Oliver],
Drift analysis and drift reduction for multiresolution hybrid video coding,
SP:IC(8), No. 5, July 1996, pp. 387-409.
Elsevier DOI BibRef 9607

de Largy, J.[Jeff], Wendt, P.[Peter],
A performance comparison of three software video codecs for IBM RISC System/6000 workstations,
SP:IC(8), No. 1, January 1996, pp. 39-44.
Elsevier DOI BibRef 9601

Novak, K., Shahin, F.S.,
A Comparison of Two Image Compression Techniques for Softcopy Photogrammetry,
PhEngRS(62), No. 6, June 1996, pp. 695-701. 9606
Photogrammetry. GIS. BibRef

Okumura, A., Suzuki, J., Furukawa, I., Ono, S., Ashihara, T.,
Signal Analysis and Compression Performance Evaluation of Pathological Microscopic Images,
MedImg(16), No. 6, December 1997, pp. 701-710.
IEEE Top Reference. 9803

Egger, O., Fleury, P.[Pascal], Ebrahimi, T., Kunt, M.,
High-performance compression of visual information: A tutorial review. I. Still pictures,
PIEEE(87), No. 6, June 1999, pp. 976-1013.

Xiong, Z., Ramchandran, K., Orchard, M.T., Zhang, Y.Q.,
A Comparative Study of DCT- and Wavelet-Based Image Coding,
CirSysVideo(9), No. 5, August 1999, pp. 692.
IEEE Top Reference. BibRef 9908

Clarke, R.J.[Roger J.],
Image and video compression: A survey,
IJIST(10), No. 1, 1999, pp. 20-32. Survey, Compression. BibRef 9900

Zhu, B., Yang, E., Tewfik, A.H.,
Arithmetic Coding with Dual Symbol Sets and Its Performance Analysis,
IP(8), No. 12, December 1999, pp. 1667-1676.

Shi, Y.Q.[Yun Q.], Sun, H.F.[Hui-Fang],
Image and Video Compression for Multimedia Engineering,
CRC PressDecember 1999, 440pp. ISBN 0-8493-3491-8. BibRef 9912

Saha, S., Vemuri, R.,
An Analysis on the Effect of Image Features on Lossy Coding Performance,
SPLetters(7), No. 5, May 2000, pp. 104-107.
IEEE Top Reference. 0005

Lai, Y.K.[Yung-Kai], Kuo, C.C.J.[C.C. Jay],
A Haar Wavelet Approach to Compressed Image Quality Measurement,
JVCIR(11), No. 1, March 2000, pp. 17-40. 0008

Polvere, M., Nappi, M.,
Speed-Up in Fractal Image Coding: Comparison of Methods,
IP(9), No. 6, June 2000, pp. 1002-1009.

Lee, C.W.[Chang Woo], Kim, J.W.[Jong Won], Lee, S.U.[Sang Uk],
Design and Performance Analysis of Linear Phase Para-Unitary M Band Filter Banks for Image Coding,
JVCIR(10), No. 2, June 1999, pp. 63-77. 0010

Butera, W., Bove, Jr., V.M.,
The Coding Ecology: Image Coding via Competition Among Experts,
CirSysVideo(10), No. 7, October 2000, pp. 1049-1058.
IEEE Top Reference. 0010

Garcia, J.A., Fdez-Valdivia, J., Rodriguez-Sánchez, R.[Rosa], Fdez-Vidal, X.R.[Xose R.],
Coder selection for lossy compression of still images,
PR(35), No. 11, November 2002, pp. 2489-2509.
Elsevier DOI 0208
Comparing Lossy Coders for Still Images,
SCIA01(P-W3B). 0206

Garcia, J.A., Fdez-Valdivia, J., Fdez-Vidal, X.R.[Xose R.], Rodriguez-Sánchez, R.[Rosa],
On the concept of best achievable compression ratio for lossy image coding,
PR(36No. 10, October 2003, pp. 2377-2394.
Elsevier DOI 0308
Earlier: A1, A2, A4, A3:
Performance of the Kullback-Leibler information gain for predicting image fidelity,
ICPR02(III: 843-848).

Wegener, A.,
Compression of Medical Sensor Data,
SPMag(27), No. 4, 2010, pp. 125-130.
Exploratory DSP BibRef

Shukla, K.K., Prasad, M.V.,
Lossy Image Compression: Domain Decomposition-Based Algorithms,
WWW Link. 1109
ISBN: 978-1-4471-2217-3. BibRef

Guccione, P., Belotti, M., Giudici, D., Guarnieri, A.M.[A. Monti], Navas-Traver, I.,
Sentinel-1A: Analysis of FDBAQ Performance on Real Data,
GeoRS(53), No. 12, December 2015, pp. 6804-6812.
flexible dynamic block adaptive quantizer. SAR satellite compression. data acquisition BibRef

Yamaghani, M.[Mohammadreza], Zargari, F.[Farzad],
Classification and retrieval of radiology images in H.264/AVC compressed domain,
SIViP(11), No. 3, March 2017, pp. 573-580.
Springer DOI 1702
AVC coding vs. PNG for radiology images, some reduction in accuracy, large reduction in space. BibRef

Dusselaar, R.[Rui], Paul, M.[Manoranjan],
Hyperspectral image compression approaches: opportunities, challenges, and future directions: discussion,
JOSA-A(34), No. 12, December 2017, pp. 2170-2180.
DOI Link 1712
Image processing, Three-dimensional image processing, Remote sensing and sensors BibRef

Kwan, C.[Chiman], Larkin, J.[Jude], Budavari, B.[Bence], Tran, T.D.[Trac D.],
A short review of well-known image codecs and observations and root cause of some strange behaviors in image compression codecs,
SIViP(14), No. 3, April 2020, pp. 583-591.
Springer DOI 2004

Gao, C.S.[Chang-Sheng], Liu, D.[Dong], Li, L.[Li], Wu, F.[Feng],
Towards Task-Generic Image Compression: A Study of Semantics-Oriented Metrics,
MultMed(25), 2023, pp. 721-735.
Image coding, Task analysis, Semantics, Measurement, Feature extraction, Image reconstruction, Bit rate, task generic BibRef

Gnutti, A.[Alessandro], Guerrini, F.[Fabrizio], Leonardi, R.[Riccardo], Ortega, A.[Antonio],
Symmetry-Based Graph Fourier Transforms: Are They Optimal for Image Compression?,
Image coding, Fourier transforms, Clustering algorithms, Transforms, Approximation algorithms, Compaction, image non-linear approximation BibRef

Cheng, X., Li, Z.,
How Does Shannon's Source Coding Theorem Fare In Prediction of Image Compression Ratio with Current Algorithms?,
DOI Link 2012

Watkins, Y., Iaroshenko, O., Sayeh, M., Kenyon, G.,
Image Compression: Sparse Coding vs. Bottleneck Autoencoders,
Image coding, Image reconstruction, Neurons, Convolutional codes, Image quality, Generators, Training, Image Compression, Thumbnails BibRef

Galic, I., Zovko-Cihlar, B., Livada, C.,
Comparison of different PDE-based image compression methods with respect to the choice of PDE,
compressed sensing BibRef

Athar, S.[Shahrukh], Yeganeh, H.[Hojatollah], Wang, Z.[Zhou],
Data rate and dynamic range compression of medical images: Which one goes first?,
Medical image compression BibRef

Kosheleva, O.M., Kreinovich, V., Nguyen, H.T.,
On the optimal choice of quality metric in image compression,
IEEE Top Reference. 0208

Girod, B.[Bernd], Eisert, P.[Peter], Magnor, M.[Markus], Steinbach, E.G.[Eckehard G.], Wiegand, T.[Thomas],
3-D image models and compression: synthetic hybrid or natural fit?,
IEEE DOI BibRef 9900

Inazumi, Y.[Yasuhiro], Horita, Y.[Yuukou], Kotani, K.[Kazunori], Murai, T.[Tadakuni],
Quality Evaluation Method Considering Time Transition of Coded Video Quality,
IEEE DOI BibRef 9900

Furusho, Y., Kotani, K., Horita, Y., Kenmochi, Y., Algazi, V.R.,
Picture quality evaluation model for color coded images: Considering observing points and local feature of image,
IEEE DOI BibRef 9900

Hangai, S.[Seiichiro], Hamamoto, T.[Takayuki], Takano, H.[Hidetaka],
Collaborative Method for Quality Evaluation of Coded Pictures,
IEEE DOI BibRef 9900

Morris, T.,
CQA: Subjective Video Codec Quality Analyser,
BMVC99(Image Matching and Retrieval).
PDF File. 9909

Chen, C.C.[Chaur-Chen],
On the Selection of Image Compression Algorithms,
ICPR98(Vol II: 1500-1504).

van Dijk, A.[Antoon], Martens, J.B.,
Quality Assessment of Compressed Images: A Comparison Between Two Methods,
ICIP96(II: 25-28).
IEEE DOI BibRef 9600

Qian, S.E.[Shen-En], Wang, R.Q.[Ru-Qin], Li, S.Q.[Shu-Qiu], and Dai, Y.S.[Yi-Song],
Computer-Aided Performance Evaluation System for the On-Board Data Compression System in HIRIS,
SPIE(1483), 1991, pp. 196-206. BibRef 9100

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Neural Networks, Learning for Image Compression .

Last update:Jun 17, 2024 at 21:38:11