16 September 1994 Design of filters for minimum-variance multiresolution analysis and subband decomposition
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Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185876
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
Abstract
The paper investigates the design of minimum-variance perfect reconstruction filter banks for use in image compression applications. These filter banks are formed so that the variance of the difference between input and output of each band is minimized. This has the effect of minimizing the error occurring when only one of all filter banks is retained and the rest are omitted. The paper presents a method for the design of such banks so as to achieve in each band minimum variance and a linear-phase realization appropriate for application to images. Some results of the actual implementation of these filter bands to image compression are included.
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Christos G. Chrysafis, Christos G. Chrysafis, Michael G. Strintzis, Michael G. Strintzis, "Design of filters for minimum-variance multiresolution analysis and subband decomposition", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.185876; https://doi.org/10.1117/12.185876
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