Image coding by perceptual pruning with a cortical snapshot indistinguishability criterion

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3299, Issue , 1998, Pages 330-339

  Horowitz, Michael J ^a   Neuhoff, David L ^a  

^a University of Michigan   (United States)

Author keywords

Matching pursuit; Maximum likelihood indistinguishability criterion; Perceptual image coding; Snapshot similarity measure

Indexed keywords

MAXIMUM LIKELIHOOD;

IMAGE CODING ALGORITHMS; IMAGE COMPONENTS; INDISTINGUISHABILITY; MATCHING PURSUIT; PERCEPTUAL IMAGE CODING; POINT OF FIXATION; SIMILARITY MEASURE; SUBJECTIVE QUALITY;

IMAGE CODING;

EID: 0002953849     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.320154     Document Type: Conference Paper

References (6)

1. A. B . Watson, The cortex transform: rapid computation of simulated neural images, Comp. Vision, Graphics and Image Proc. , Vol. 39, pp. 311-327, 1987.
2. S. Mallat, Z. Zhang, Matching pursuits with time-frequency dictionaries, IEEE Trans. on Signal Processing, Vol. 41, pp. 3397-3415, Dec. 1993.
3. A. B. Watson, Efficiency of an image code based on human vision, JISA A, Vol. 4, pp. 2401-2417, 1987.
4. D. Green, J. Swets, Signal Detection Theory and Psychophysics, John Wiley and Sons, New York, 1966, pp. 59-60.
5. A. B. Watson, Estimation of local spatial scale, JJSA A, Vol. 4, pp. 1579-1582, 1987.
6. J. Shapiro, Embedded image coding using zerotrees of wavelet coefficients, IEEE Trans. Signal Proc. , pp. 3445-3462, Dec. 1993.