Perceptual wavelet scheme for image compression

Shu-Yu Zhu; Konstantinos N. Plataniotis; Anastasios N. Venetsanopoulos

doi:10.1117/12.429483

8 June 2001 Perceptual wavelet scheme for image compression

Shu-Yu Zhu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos

Proceedings Volume 4299, Human Vision and Electronic Imaging VI; (2001) https://doi.org/10.1117/12.429483
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

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.

Citation Download Citation

Shu-Yu Zhu, Konstantinos N. Plataniotis, and Anastasios N. Venetsanopoulos "Perceptual wavelet scheme for image compression", Proc. SPIE 4299, Human Vision and Electronic Imaging VI, (8 June 2001); https://doi.org/10.1117/12.429483

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KEYWORDS

Wavelets

Image compression

Computer programming

Visual process modeling

Image quality

Distortion

Visualization

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