How do image statistics impact lossy coding performance?

Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2000

Volumn , Issue , 2000, Pages 42-47

  Saha, S ^a   Vemuri, R ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); SIGNAL TO NOISE RATIO;

CODING PERFORMANCE; GRAY LEVEL IMAGE; IMAGE STATISTICS; INHERENT CHARACTERISTICS; LOSSY CODING; PEAK SIGNAL TO NOISE RATIO; TEST IMAGES; WAVELET FILTERS;

IMAGE CODING;

EID: 21744452099     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITCC.2000.844181     Document Type: Conference Paper

References (4)

1. S. Saha and R. Vemuri, "Adaptive Wavelet Filters in Image Coders - How Important are They?", in Proc. IECON '99, San Jose, California, Nov. '99, Vol. 2, pp. 559-564.
2. A. K. Jain, 'Fundamentals of Digital Image Processing', Prentice Hall, Englewood Cliffs, NJ, 1989.
3. J. B. Cheng et. al., "Adaptive Piecewise Linear Bits Estimation Model for MPEG based Video Coding", in Proc. ICIP, 1995, pp. 551-554.
4. S. J. Jo and Y. H. Lee, "A statistical feedforward/feedback buffer control for the transmission of digital video signals compressed by DCT-based intrafield coding", IEEE Trans. IP, Vol. 5, Mar. 1996, pp. 527-529.