Paper
1 November 1992 Optimum lattice multiresolution transform for image compression
Benoit M. M. Macq, J. Y. Mertes, Serge Comes, Jean-Didier Legat
Author Affiliations +
Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131415
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
This paper presents a new design criterion in order to make the multiresolution filter banks perform the best quality/compression ratio, in the frame of scene adaptive coding. The optimization adapts the filters parameters to the codec features and to the statistics of 2-D sources. The aim of the paper is the comparison of several multiresolution linear transforms implemented by separable FIR filter banks. Some of them are well-known transforms while others are optimized in the light of our criterion. Objective criterions and visual tests are taken into consideration.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Benoit M. M. Macq, J. Y. Mertes, Serge Comes, and Jean-Didier Legat "Optimum lattice multiresolution transform for image compression", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131415
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KEYWORDS
Linear filtering

Quantization

Wavelet transforms

Image processing

Wavelets

Signal to noise ratio

Image filtering

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