5.4.3.6 Image Quantization, Quantization of Images

Chapter Contents (Back)
Compression. Quantization. Not strictly compression, but sometimes is.

Max, J.,
Quantizing for Minimum Distortion,
IT(6), No. 1, March 1960, pp. 1-6. ?? BibRef 6003

Lippel, B., Kurland, M., Marsh, A.H.,
Ordered Dither Patterns for Coarse Quantization of Pictures,
PIEEE(59), No. 3, March 1971, pp. 429-431. BibRef 7103

Carter, W.H., Brown, V.D.,
A Signal-Dependent Error Arising in Digitally Processed Images Due to Quantization,
TC(21), No. 12, December 1972, pp. 1380-1384. BibRef 7212

Mori, S.[Sumio],
Shaded picture signal processing system and method,
US_Patent4,366,507, Dec 28, 1982
WWW Link. BibRef 8212

Schafer, R.,
Design of Adaptive and Nonadaptive Quantizers Using Subjective Criteria,
SP(5), 1983, pp. 333-345. BibRef 8300

Kazakos, D.,
New Results on Robust Quantization,
Commun(31), 1983, pp. 965-974. BibRef 8300

Kieffer, J.C.,
Uniqueness of Locally Optimal Quantizer for Log-Concave Density and Convex Error Weighting Functions,
IT(29), 1983, pp. 42-47. BibRef 8300

Cambanis, S., Gerr, N.L.,
A Simple Class of Asymptotically Optimal Quantizers,
IT(29), 1983, pp. 664-676. BibRef 8300

Judell, N., Scharf, L.,
A Simple Derivation of Lloyd's Classical Result for the Optimum Scalar Quantizer,
IT(32), 1986, pp. 326-328. See also Least Squares Quantization in PCM. BibRef 8600

Swaszek, P.F.,
Asymptotic Performance of Unrestricted Polar Quantizers,
IT(32), 1986, pp. 330-333. BibRef 8600

Li, Q.[Qi], Swaszek, P.F.,
One-pass vector quantizer design by sequential pruning of the training data,
ICIP95(III: 105-108).
IEEE DOI 9510
BibRef

Werman, M., Peleg, S.,
Gray Level Requantization,
CVGIP(43), No. 1, July 1988, pp. 81-87.
WWW Link. BibRef 8807

Peleg, S., Werman, M., and Rom, H.,
A Unified Approach to the Change of Resolution: Space and Gray Level,
PAMI(11), No. 7, July 1989, pp. 739-742.
IEEE DOI BibRef 8907

Ishida, S.[Shinichi], Sakamoto, M.[Masahiro], Shinada, Y.[Yasuyuki], Ono, T.[Takeshi],
Image processing method and apparatus,
US_Patent4,969,052, Nov 6, 1990
WWW Link. BibRef 9011
And:
Image processing method and apparatus with reduction of granular noise, etc.,
US_Patent5,159,470, Oct 27, 1992
WWW Link. BibRef

Tanioka, H.[Hiroshi], Yamada, Y.[Yasuhiro],
Apparatus for performing gradation processing on image data,
US_Patent5,121,447, Jun 9, 1992
WWW Link. BibRef 9206

Katayama, A.[Akihiro], Ohsawa, H.[Hidefumi], Fukuhara, A.[Akiko],
Image treatment method and apparatus with error dispersion and controllable quantization,
US_Patent5,325,448, Jun 28, 1994
WWW Link. BibRef 9406

Nguyen, T.B., Oommen, B.J.,
Moment-Preserving Piecewise-Linear Approximations of Signals and Images,
PAMI(19), No. 1, January 1997, pp. 84-91.
IEEE DOI 9702
BibRef

Ortega, A., Vetterli, M.,
Adaptive Scalar Quantization without Side Information,
IP(6), No. 5, May 1997, pp. 665-676.
IEEE DOI
HTML Version. 9705
BibRef
Earlier:
Adaptive quantization without side information,
ICIP94(III: 856-860).
IEEE DOI 9411
BibRef

Ortega, A.,
Optimization Techniques for Adaptive Quantization of Image and Video under Delay Constraints,
Ph.D.Thesis, Dept. of Electrical Engineering, Columbia University, June 1994.
HTML Version. BibRef 9406

Sakazawa, S.[Shigeyuki], Hamada, T.[Takahiro], Matsumoto, S.[Shuichi],
Quantizer designed by using human visual sensitivity,
US_Patent5,557,276, Sep 17, 1996
WWW Link. BibRef 9609

Chung, K.L., Hong, K.B.,
Level Compression-Based Image Representation and Its Applications,
PR(31), No. 3, March 1998, pp. 327-332.
WWW Link. 9802
BibRef

Hung, A.C., Meng, T.H.,
Multidimensional Rotations for Robust Quantization of Image Data,
IP(7), No. 1, January 1998, pp. 1-12.
IEEE DOI 9801
BibRef

Blasiak, D., Shen, J., Chan, W.Y.,
Generalized Scalar Quantizer Design Using Dynamic Programming,
SPLetters(6), No. 5, May 1999, pp. 103.
IEEE Top Reference. BibRef 9905

Kämpke, T.[Thomas], Kober, R.[Rudolf],
Discrete signal quantization,
PR(32), No. 4, April 1999, pp. 619-634.
WWW Link. BibRef 9904

Wang, G., Li, Y.,
Axiomatic Approach for Quantification of Image Resolution,
SPLetters(6), No. 10, October 1999, pp. 257.
IEEE Top Reference. BibRef 9910

Malo, J., Ferri, F.J., Albert, J.V., Soret, J., Artigas, J.M.,
The role of perceptual contrast non-linearities in image transform quantization,
IVC(18), No. 3, February 2000, pp. 233-246.
WWW Link. 0001
BibRef

Malo, J., Ferri, F.J., Albert, J.V., Artigas, J.M.,
Adaptive motion estimation and video vector quantization based on spatiotemporal non-linearities of human perception,
CIAP97(I: 454-461).
Springer DOI 9709
BibRef

Papamarkos, N.[Nikos], Atsalakis, A.[Antonios],
Gray-Level Reduction Using Local Spatial Features,
CVIU(78), No. 3, June 2000, pp. 336-350.
DOI Link 0006
BibRef

Tsakalides, P., Reveliotis, P., Nikias, C.L.,
Scalar quantisation of heavy-tailed signals,
VISP(147), No. 5, October 2000, pp. 475-484. 0101
BibRef

Cihlar, J., Okouneva, G., Beaubien, J., Latifovic, R.,
A new histogram quantization algorithm for land cover mapping,
JRS(22), No. 11, July 2001, pp. 2151-2169. 0201
BibRef

Srivastava, A.[Anuj], Liu, X.W.[Xiu-Wen], Grenander, U.[Ulf],
Universal Analytical Forms for Modeling Image Probabilities,
PAMI(24), No. 9, September 2002, pp. 1200-1214.
IEEE Abstract. 0209
See also Probability Models for Clutter in Natural Images. BibRef

Srivastava, A., Liu, X., Grenander, U.,
Analytical Image Models and Their Applications,
ECCV02(I: 37 ff.).
Springer DOI 0205
See also Spectral Probability Models for IR Images With Applications to IR Face Recognition. BibRef

Srivastava, A., Liu, X., Grenander, U.,
Analytical Models for Reduced Spectral Representations of Images,
ICIP01(I: 153-156).
IEEE DOI 0108
BibRef

Shelley, P.[Paul], Li, X.B.[Xiao-Bo], Han, B.[Bin],
A hybrid quantization scheme for image compression,
IVC(22), No. 3, 1 March 2004, pp. 203-213.
WWW Link. 0402
BibRef

Ohshima, S.[Seiji],
Image processing apparatus and method to reduce gray levels of image,
US_Patent6,956,673, Oct 18, 2005
WWW Link. BibRef 0510

Borodkin, S.M., Borodkin, A.M., Muchnik, I.B.,
Optimal Requantization of Deep Grayscale Images and Lloyd-Max Quantization,
IP(15), No. 2, February 2006, pp. 445-448.
IEEE DOI 0602
See also Least Squares Quantization in PCM. BibRef

Wong, A.[Alexander],
PECSI: A Practical Perceptually-enhanced Compression Framework for Still Images,
IJIG(9), No. 4, October 2009, pp. 511-529.
DOI Link 0911
Downsampling, quantization. Improve perceptual quality of coding. BibRef

Mai, Z., Mansour, H., Mantiuk, R., Nasiopoulos, P., Ward, R.K., Heidrich, W.,
Optimizing a Tone Curve for Backward-Compatible High Dynamic Range Image and Video Compression,
IP(20), No. 6, June 2011, pp. 1558-1571.
IEEE DOI 1106
BibRef

Goyal, V.K.,
Scalar Quantization With Random Thresholds,
SPLetters(18), No. 9, September 2011, pp. 525-528.
IEEE DOI 1108
BibRef

Stern, A.[Adrian], Zeltzer, Y.[Yigal], Rivenson, Y.[Yair],
Quantization error and dynamic range considerations for compressive imaging systems design,
JOSA-A(30), No. 6, June 2013, pp. 1069-1077.
WWW Link. 1307
BibRef

Schwarz, S., Rupp, M.,
Predictive Quantization on the Stiefel Manifold,
SPLetters(22), No. 2, February 2015, pp. 234-238.
IEEE DOI 1410
MIMO BibRef

Oh, B.T.[Byung Tae],
An adaptive quantization algorithm without side information for depth map coding,
SP:IC(29), No. 9, 2014, pp. 962-970.
Elsevier DOI 1410
Depth map coding BibRef

Le Pendu, M.[Mikael], Guillemot, C.[Christine], Thoreau, D.[Dominique],
Local inverse tone curve learning for high dynamic range image scalable compression,
IP(24), No. 12, December 2015, pp. 5753-5763.
IEEE DOI 1512
HEVC. data compression. BibRef

Le Pendu, M.[Mikael], Guillemot, C.[Christine], Thoreau, D.[Dominique],
Inter-Layer Prediction of Color in High Dynamic Range Image Scalable Compression,
IP(25), No. 8, August 2016, pp. 3585-3596.
IEEE DOI 1608
BibRef
And:
Template based inter-layer prediction for high dynamic range scalable compression,
ICIP15(2974-2978)
IEEE DOI 1512
data compression BibRef

Yu, L.T.[Li-Tao], Huang, Z.[Zi], Shen, F.M.[Fu-Min], Song, J.K.[Jing-Kuan], Shen, H.T.[Heng Tao], Zhou, X.F.[Xiao-Fang],
Bilinear Optimized Product Quantization for Scalable Visual Content Analysis,
IP(26), No. 10, October 2017, pp. 5057-5069.
IEEE DOI 1708
Covariance matrices, Distortion, Encoding, Optimization, Vector quantization, Visualization, Product quantization, bilinear projection, visual content analysis BibRef


Wang, Y.[Yilin], Kum, S.U.[Sang-Uok], Chen, C.[Chao], Kokaram, A.[Anil],
A perceptual visibility metric for banding artifacts,
ICIP16(2067-2071)
IEEE DOI 1610
Coherence. Compressing low texture regions. BibRef

Froehlich, J., Su, G.M., Daly, S., Schilling, A., Eberhardt, B.,
Content aware quantization: Requantization of high dynamic range baseband signals based on visual masking by noise and texture,
ICIP16(884-888)
IEEE DOI 1610
Dynamic range BibRef

Zhang, T.[Ting], Qi, G.J.[Guo-Jun], Tang, J.H.[Jin-Hui], Wang, J.D.[Jing-Dong],
Sparse composite quantization,
CVPR15(4548-4556)
IEEE DOI 1510
BibRef

Babenko, A.[Artem], Lempitsky, V.[Victor],
Additive Quantization for Extreme Vector Compression,
CVPR14(931-938)
IEEE DOI 1409
BibRef

Makar, M.[Mina], Lakshman, H.[Haricharan], Chandrasekhar, V.[Vijay], Girod, B.[Bernd],
Gradient preserving quantization,
ICIP12(2505-2508).
IEEE DOI 1302
BibRef

Wang, Z., Simon, S., Klaiber, M., Ahmed, S., Richter, T.,
SSPQ: Spatial Domain Perceptual Image Codec Based on Subsampling and Perceptual Quantization,
ICIP12(1061-1064).
IEEE DOI 1302
BibRef

Yang, K.[Kai], Jiang, H.X.[Hong-Xu],
Optimized-SSIM Based Quantization in Optical Remote Sensing Image Compression,
ICIG11(117-122).
IEEE DOI 1109
BibRef

Motra, A.[Ajit], Thoma, H.[Herbert],
An adaptive LogLUV transform for High Dynamic Range video compression,
ICIP10(2061-2064).
IEEE DOI 1009
BibRef

Langton, J.T.[John T.], Prinz, A.A.[Astrid A.], Hickey, T.J.[Timothy J.],
Combining Pixelization and Dimensional Stacking,
ISVC06(II: 617-626).
Springer DOI 0611
BibRef

Sheinin, V., Jagmohan, A.,
Low Rate Uniform Scalar Quantization of Memoryless Gaussian Sources,
ICIP06(793-796).
IEEE DOI 0610
BibRef

Marques, O., Petljanski, B.,
A Novel Approach for Video Quantization Using the Spatiotemporal Frequency Characteristics of the Human Visual System,
BMVC05(xx-yy).
HTML Version. 0509
BibRef

Stentiford, F.,
A visual attention estimator applied to image subject enhancement and colour and grey level compression,
ICPR04(III: 638-641).
IEEE DOI 0409
BibRef

Imiya, A., Ito, A., Kenmochi, Y.,
Inverse quantization of digital binary images for resolution conversion,
ScaleSpace01(xx-yy). 0106
BibRef

Verscheure, O., and van den Branden Lambrecht, C.J.,
Adaptive Quantization Using a Perceptual Visibility Predictor,
ICIP97(I: 298-301).
IEEE DOI BibRef 9700

Tull, D.L., Safranek, R.J.,
Variable dimension quantization in the transform domain,
ICIP95(I: 302-305).
IEEE DOI 9510
BibRef

Adali, T., Wang, Y.[Yue],
Probabilistic neural networks for medical image quantification,
ICIP94(III: 889-892).
IEEE DOI 9411
BibRef

Valev, V.[Ventzeslav],
A model-based image quantization technique for supervised image recognition,
CAIP93(128-132).
Springer DOI 9309
BibRef

Linnainmaa, S.,
New efficient representation of photographic images with restricted number of gray levels,
ICPR88(I: 143-145).
IEEE DOI 8811
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Color Quantization of Images .


Last update:Nov 18, 2017 at 20:56:18