1 September 1995 Wavelet-based image coding using HVS characteristics
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mrinal K. Mandal, Mrinal K. Mandal, Sethuraman Panchanathan, Sethuraman Panchanathan, Tyseer Aboulnasr, Tyseer Aboulnasr, } "Wavelet-based image coding using HVS characteristics", Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); doi: 10.1117/12.217590; https://doi.org/10.1117/12.217590

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