Minimax multiresolution scalar quantization

Data Compression Conference Proceedings

Volumn , Issue , 2004, Pages 52-61

  Sarshar, Nima ^a   Wu, Xiaolin ^b  

^a MCMASTER UNIVERSITY   (Canada)

^b POLYTECHNIC UNIVERSITY   (United States)

Author keywords

Minimax optimization; Multiresolution signal representation; Progressive codes; Scalar quantization

Indexed keywords

DIGITAL INSTRUMENTS; DISTORTION (WAVES); HEURISTIC METHODS; MATHEMATICAL MODELS; OPTIMIZATION; SIGNALING; WAVELET TRANSFORMS; WIRELESS TELECOMMUNICATION SYSTEMS;

MEAN SQUARE ERRORS; MINIMAX OPTIMIZATION; MULTI-RESOLUTION SCALAR QUANTIZER (MRSQ); MULTRESOLUTION SIGNAL REPRESENTATION; PROGRESSIVE CODES; SCALAR QUANTIZATION;

VECTOR QUANTIZATION;

EID: 2642522325     PISSN: 10680314     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. I. Avcibas, N. Memon, B. Sankur and K. Sayood, "Lossless Image Compression Based on Successive Refinement", Visual Communications and Image Processing, San Jose, CA, February 2001.
2. H. Brunk and N. Farvardin, "Fixed-rate successively refinable scalar quantizers," Proc. IEEE Data Compression Conference, pp. 250-259, Apr.1996.
3. S. Dumitrescu and X. Wu, "Algorithms for optimal multi-resolution quantization", J. of Algorithms, (to appear).
4. W. Equitz and T. Cover, "Successive refinement of information", IEEE Trans. on Info. Theory, 37(2):269-275, March 1991.
5. H. Jafarkhani, H. Brunk, and N. Farvardin, "Entropy-constrained successively refinable scalar quantization," Proc. IEEE Data Compression Conference, pp. 337-346, Mar.1997.
6. D. Muresan and M. Effros, "Quantization as Histogram Segmentation: Globally Optimal Scalar Quantizer Design in Network Systems", Proc. IEEE Data Compression Conference, pp. 302-311, April 2002.
7. J. M. Shapiro, "Embedded image coding using zerotrees of wavelet coefficients," IEEE Trans. Signal. Proc., vol 41, pp. 3445-3462, Dec. 1993.
8. K. Tzou and S. E. Elnahas, "Bit-sliced progressive transmission and reconstruction of transformed images," ICASSP, pp.533-536, 1986.
9. ∞-Constrained High-Fidelity Image Compression via Adaptive Context Modeling", IEEE Trams. on Image Processing, vol. 9, no. 4, p. 536-542, April 2000.