Translator Disclaimer
17 June 2003 Suprathreshold image compression based on contrast allocation and global precedence
Author Affiliations +
Proceedings Volume 5007, Human Vision and Electronic Imaging VIII; (2003)
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Visually lossless image compression algorithms aim to keep the compression-induced distortions below the threshold of visual detection, most-often by exploiting the fact that contrast sensitivity varies with spatial frequency. However, when an image is coded in a visually lossy manner, there is little evidence to suggest that visual quality is preserved by minimizing the compression-induced distortions. This paper presents a visually lossy wavelet image compression algorithm based on contrast allocations and visual global precedence: subbands are quantized such that the distortions in the reconstructed image exhibit specific root-mean squared contrast ratios, and such that edge structure is preserved across scale-space, with a preference for global spatial scales. A model which relates contrast (of the distortions) in the reconstructed image to mean-squared error in the wavelet subbands is derived and presented; this model provides an efficient means of adjusting contrast in the transform domain via traditional quantization techniques, thus allowing the algorithm to be used in a wide variety of coders.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Damon M. Chandler and Sheila S. Hemami "Suprathreshold image compression based on contrast allocation and global precedence", Proc. SPIE 5007, Human Vision and Electronic Imaging VIII, (17 June 2003);

Back to Top