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Proceedings Paper

Perceptual wavelet scheme for image compression
Author(s): Shu-Yu Zhu; Konstantinos N. Plataniotis; Anastasios N. Venetsanopoulos
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Paper Abstract

A perceptual wavelet coder was developed to satisfy a wide range of requirements, from high-end commercial applications where no distortion can be tolerated, to inherent and wireless types of applications, where bandwidth is highly restricted. A perceptual model was designed and incorporated in the compression scheme to allow the encoder to allocate bits for each subband based on minimizing the overall perceptual distortion. The perceptual model takes into account contrasts sensitivity at different frequency subband, local background at desired perceptual quality. The coder achieves scalability by multi-rate quantization and entropy coding. The result of the perceptual wavelet encoder were compared to those of JPEG and wavelet encoder without perceptual model. In addition to PSNR, a quality assessment model based on visual discrimination model was used to evaluate the compressed images. Results demonstrated better performance of the perceptual wavelet encoder than that of the other two encoders. The codec is asymmetric in that the decoder does not need to have knowledge of the perceptual model.

Paper Details

Date Published: 8 June 2001
PDF: 8 pages
Proc. SPIE 4299, Human Vision and Electronic Imaging VI, (8 June 2001); doi: 10.1117/12.429483
Show Author Affiliations
Shu-Yu Zhu, Univ. of Toronto (United States)
Konstantinos N. Plataniotis, Univ. of Toronto (Canada)
Anastasios N. Venetsanopoulos, Univ. of Toronto (Canada)

Published in SPIE Proceedings Vol. 4299:
Human Vision and Electronic Imaging VI
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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