5.4.3.2.1 Metrics to Compare Vector Quantization

Chapter Contents (Back)
Vector Quantization.

Huang, C.M., Harris, R.W.,
A comparison of several vector quantization codebook generation approaches,
IP(2), No. 1, January 1993, pp. 108-112.
IEEE DOI 0402
BibRef

Makur, A.,
Vector quantization of images using input-dependent weighted square error distortion,
CirSysVideo(3), No. 6, December 1993, pp. 435-439.
IEEE Top Reference. 0206
BibRef

Rizvi, S.A., Nasrabadi, N.M.,
An efficient Euclidean distance computation for vector quantization using a truncated look-up table,
CirSysVideo(5), No. 4, August 1995, pp. 370-371.
IEEE Top Reference. 0206
BibRef

Oehler, K.L., Gray, R.M.,
Combining Image Compression and Classification Using Vector Quantization,
PAMI(17), No. 5, May 1995, pp. 461-473.
IEEE DOI BibRef 9505

Perlmutter, K.O., Perlmutter, S.M., Gray, R.M., Olshen, R.A., Oehler, K.L.,
Bayes Risk Weighted Vector Quantization with Posterior Estimation for Image Compression and Classification,
IP(5), No. 2, February 1996, pp. 347-360.
IEEE DOI BibRef 9602

Perlmutter, S.M., Gray, R.M.,
A low complexity multiresolution approach to image compression using pruned nested tree-structured vector quantization,
ICIP94(I: 588-592).
IEEE DOI 9411
BibRef

Perlmutter, K.O., Nash, C.L., Gray, R.M.,
A comparison of Bayes risk weighted vector quantization with posterior estimation with other VQ-based classifiers,
ICIP94(II: 217-221).
IEEE DOI 9411
BibRef

Gallagher, Jr., N.C., Bucklew, J.A.,
Properties of Minimum Mean Squared Error Block Quantizers,
IT(28), 1982, pp. 105-107. BibRef 8200

Barth, W.G., Vandelinde, V.J.,
Robust Memoryless Quantization for Minimum Signal Distortion,
IT(28), 1982, pp. 296-306. BibRef 8200

Trushkin, A.V.,
Comments on 'Design of Absolutely Optimal Quantizers for a Wide Class of Distortion Measures',
IT(28), 1982, pp. 555. BibRef 8200

Jeong, D.G., Gibson, J.D.,
Image-Coding with Uniform and Piecewise-Uniform Vector Quantizers,
IP(4), No. 2, February 1995, pp. 140-146.
IEEE DOI BibRef 9502

Wegmann, B., Zetzsche, C.,
Feature-Specific Vector Quantization of Images,
IP(5), No. 2, February 1996, pp. 274-288.
IEEE DOI BibRef 9602

Katsavounidis, I., Kuo, C.C.J., Zhang, Z.,
Fast Tree-Structured Nearest-Neighbor Encoding for Vector Quantization,
IP(5), No. 2, February 1996, pp. 398-404.
IEEE DOI BibRef 9602

Lee, D., Baek, S., Sung, K.,
Modified K-Means Algorithm for Vector Quantizer Design,
SPLetters(4), No. 1, January 1997, pp. 2-4.
IEEE Top Reference. 9702
BibRef

Paliwal, K.K., Ramasubramanian, V.,
Comments on 'Modified K-Means Algorithm for Vector Quantizer Design',
IP(9), No. 11, November 2000, pp. 1964-1967.
IEEE DOI 0011
BibRef

Mathews, V.J.,
Multiplication free vector quantization using L1 distortion measure and its variants,
IP(1), No. 1, January 1992, pp. 11-17.
IEEE DOI 0402
BibRef
Earlier:
Vector quantization of images using the L1 distortion measure,
ICIP95(I: 109-112).
IEEE DOI 9510
BibRef

Mathews, V.J., Hahn, P.J.,
Vector Quantization Using The L(Omega) Distortion Measure,
SPLetters(4), No. 2, February 1997, pp. 33-35.
IEEE Top Reference. 9703
BibRef

Hahn, P.J., Mathews, V.J.,
An analytical model of the perceptual threshold function for multichannel image compression,
ICIP98(III: 404-408).
IEEE DOI 9810
BibRef

Balasubramanian, R., Bouman, C.A.[Charles A.], Allebach, J.P.,
Sequential scalar quantization of vectors: an analysis,
IP(4), No. 9, September 1995, pp. 1282-1295.
IEEE DOI 0402
BibRef

Chen, C.Q., Koh, S.N., Sivaprakasapillai, P.,
A Novel Scheme for Optimizing Partitioned VQ Using a Modified Resolution Measure,
SP(56), No. 2, January 1997, pp. 157-163. 9704
BibRef

Baek, S.J., Jeon, B., Sung, K.M.,
A Fast Encoding Algorithm for Vector Quantization,
SPLetters(4), No. 12, December 1997, pp. 325-327.
IEEE Top Reference. 9801
BibRef

Baek, S.J.[Seong-Joon], Bae, M.J.[Myung-Jin], Sung, K.M.[Koeng-Mo],
A fast vector quantization encoding algorithm using multiple projection axes,
SP(75), No. 1, 5 January 1999, pp. 89-92. BibRef 9901

Canta, G.R., Poggi, G.[Giovanni],
Kronecker-Product Gain-Shape Vector Quantization for Multispectral and Hyperspectral Image-Coding,
IP(7), No. 5, May 1998, pp. 668-678.
IEEE DOI 9805
BibRef
Earlier:
Multispectral-Image Coding by Vector Quantization with Kronecker-Product Representation,
ICIP96(II: 931-934).
IEEE DOI BibRef

Tzovaras, D., Strintzis, M.G.,
Use of Nonlinear Principal Component Analysis and Vector Quantization for Image Coding,
IP(7), No. 8, August 1998, pp. 1218-1223.
IEEE DOI 9808
BibRef

Oommen, B.J., Altinel, I.K., Aras, N.,
Discrete Vector Quantization for Arbitrary Distance Function Estimation,
SMC-B(28), No. 4, August 1998, pp. 496-510.
IEEE Top Reference. 9808
BibRef

Narayan, A., Doherty, J.F.,
Low-Bit-Rate VQ: A Projection Based Approach,
MultiSP(9), No. 3, July 1998, pp. 255-272. 9807
BibRef

Pan, J.S., Huang, K.C.,
New vector quantization image coding algorithm based on the extension of the bound for Minkowski metric,
PR(31), No. 11, November 1998, pp. 1757-1760.
Elsevier DOI BibRef 9811

Fränti, P.[Pasi], Kaukoranta, T.[Timo],
Binary vector quantizer design using soft centroids,
SP:IC(14), No. 9, July 1999, pp. 677-681.
Elsevier DOI BibRef 9907

Fränti, P.[Pasi], Kaukoranta, T.[Timo], Nevalainen, O.S.[Olli S.],
On the design of a hierarchical BTC-VQ compression system,
SP:IC(8), No. 6, September 1996, pp. 551-562.
Elsevier DOI BibRef 9609

Jung, K.H.[Kyeong-Hoon], Lee, C.W.[Choong Woong],
Image compression using projection vector quantization with quadtree decomposition,
SP:IC(8), No. 5, July 1996, pp. 379-386.
Elsevier DOI BibRef 9607

Lancini, R.[Rosa], Tubaro, S.[Stefano],
An image coding scheme based on image projections and geometrical VQ,
SP:IC(11), No. 2, December 1997, pp. 95-103.
Elsevier DOI BibRef 9712

Tubaro, S.[Stefano],
A hybrid image coder with vector quantizer,
SP:IC(2), No. 1, May 1990, pp. 95-104.
Elsevier DOI 0001
Hybrid coding; motion compensated luminance difference; vector quantization BibRef

Park, S.H., Kim, D.S.,
Theory of Projection onto the Narrow Quantization Constraint Set and Its Application,
IP(8), No. 10, October 1999, pp. 1361-1373.
IEEE DOI BibRef 9910

Park, S.H.[Seop Hyeong], Kim, D.S., Lee, J.S.,
Projection onto the Narrow Vector Quantization Constraint Set for Postprocessing of Vector Quantized Images,
ICIP96(17A5). BibRef 9600

Kim, D.S.[Dong Sik], Park, S.H.[Seop Hyeong],
Postprocessing for vector-quantized images based on projection onto hypercubes,
CirSysVideo(11), No. 7, July 2001, pp. 802-814.
IEEE Top Reference. 0108
BibRef

Panusopone, K.[Krit], Rao, K.R.,
VQ Based on a Main Feature Classification in Images,
JVCIR(11), No. 1, March 2000, pp. 1-16. 0008
BibRef

Hung, K.L.[Kuo-Lung], Chang, C.C.[Chin-Chen],
Error prevention and resilience of VQ encoded images,
SP(83), No. 2, February 2003, pp. 431-437.
Elsevier DOI 0304
BibRef

Chaux, C.[Caroline], Jezierska, A.[Anna], Pesquet, J.C.[Jean-Christophe], Talbot, H.[Hugues],
A Spatial Regularization Approach for Vector Quantization,
JMIV(41), No. 1-2, September 2011, pp. 23-38.
WWW Link. 1108
BibRef
Earlier: A2, A1, A4, A3:
Image quantization under spatial smoothness constraints,
ICIP10(4297-4300).
IEEE DOI 1009
BibRef

Chouzenoux, E.[Emilie], Jezierska, A.[Anna], Pesquet, J.C.[Jean-Christophe], Talbot, H.[Hugues],
A Majorize-Minimize Subspace Approach for L_2-L_0 Image Regularization,
SIIMS(6), No. 1, 2013, pp. 563-591.
DOI Link 1304
BibRef
Earlier: A1, A3, A4, A2:
A Memory Gradient algorithm for L2-L0 regularization with applications to image restoration,
ICIP11(2717-2720).
IEEE DOI 1201
BibRef

Chouzenoux, E.[Emilie], Jezierska, A.[Anna], Pesquet, J.C.[Jean-Christophe], Talbot, H.[Hugues],
A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood,
SIIMS(8), No. 4, 2015, pp. 2662-2682.
DOI Link 1601
BibRef

Abbouds, F., Chouzenoux, E., Pesquet, J., Talbot, H.,
A Multicore Convex Optimization Algorithm with Applications to Video Restoration,
ICIP18(1173-1177)
IEEE DOI 1809
Convex functions, Noise reduction, Synchronization, Convergence, Image processing, Optimization, Machine learning algorithms, parallel programming BibRef

Chouzenoux, E.[Emilie], Pesquet, J.C.[Jean-Christophe],
Convergence Rate Analysis of the Majorize: Minimize Subspace Algorithm,
SPLetters(23), No. 9, September 2016, pp. 1284-1288.
IEEE DOI 1609
conjugate gradient methods BibRef


Yamamoto, T.,
Vector Quantization for Image Compression Using Circular Structured Self-organization Feature Map,
ICIP01(II: 443-446).
IEEE DOI 0108
BibRef

Roh, K.C.[Kyu-Chan], Kim, J.K.[Jae-Kyoon],
A New Algorithm of Projection onto Narrow Quantization Constraint Set for Postprocessing of Quantized Images,
ICIP99(III:499-502).
IEEE DOI BibRef 9900

Tremeau, A., Charrier, C., and Cherifi, H.,
A Vector Quantization Algorithm Based on the Nearest Neighbor of the Furthest Color,
ICIP97(III: 682-685).
IEEE DOI BibRef 9700

Moeller, U., Galicki, M.[Miroslav], Witte, H.[Herbert],
A Fast Vector Quantizer on Neural Clustering Networks Providing Globally Optimal Cluster Solutions,
ICPR96(IV: 351-355).
IEEE DOI 9608
(Klinikum der Friedrich Schiller Univ., D) BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Vector Quantization with other Transform Coding Methods .


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