Wavelet-based image coding using HVS characteristics

Mrinal K. Mandal; Sethuraman Panchanathan; Tyseer Aboulnasr

doi:10.1117/12.217590

1 September 1995 Wavelet-based image coding using HVS characteristics

Mrinal K. Mandal, Sethuraman Panchanathan, Tyseer Aboulnasr

Proceedings Volume 2569, Wavelet Applications in Signal and Image Processing III; (1995) https://doi.org/10.1117/12.217590
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

Wavelet transform is becoming increasingly important in image compression applications because of its flexibility in representing nonstationary signals. In wavelet-based compression, coding performance can be improved by exploiting human visual system characteristics. In this paper, we propose an algorithm, optimal in the weighted mean square sense, to quantize the wavelet coefficients. The proposed algorithm provides a superior coding performance.

Citation Download Citation

Mrinal K. Mandal, Sethuraman Panchanathan, and Tyseer Aboulnasr "Wavelet-based image coding using HVS characteristics", Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); https://doi.org/10.1117/12.217590

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