Combined image compressor and denoiser based on tree-adapted wavelet shrinkage

James S. Walker

doi:10.1117/1.1483086

1 July 2002 Combined image compressor and denoiser based on tree-adapted wavelet shrinkage

James S. Walker

Optical Engineering, Vol. 41, Issue 7, (July 2002). https://doi.org/10.1117/1.1483086

An algorithm is described for simultaneously compressing and denoising images. The algorithm is called tree-adapted wavelet shrinkage and compression (TAWS-Comp). TAWS-Comp is a synthesis of an image compression algorithm, adaptively scanned wavelet difference reduction (ASWDR), and a denoising algorithm, tree-adapted wavelet shrinkage (TAWS). As a compression procedure, TAWS-Comp inherits all of the advantages of ASWDR: its ability to achieve a precise bit rate assigned before compressing, its scalability of decompression, and its capability for enhancing regions of interest. Such a full range of features has not been available with previous compressor-plus-denoiser algorithms. As a denoising procedure, TAWS-Comp is nearly as effective as TAWS alone. TAWS has been shown to have good performance, comparable to state of the art denoisers. In many cases, TAWS-Comp matches the performance of TAWS while simultaneously performing compression. TAWS-Comp is compared with other combined compressor/denoisers, in terms of error reduction and compressed bit rates. Simultaneous compression and denoising is needed when images are acquired from a noisy source and storage or transmission capacity is severely limited (as in some video coding applications). An application is described where the features of TAWS-Comp as both compressor and denoiser are exploited.

©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)

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James S. Walker "Combined image compressor and denoiser based on tree-adapted wavelet shrinkage," Optical Engineering 41(7), (1 July 2002). https://doi.org/10.1117/1.1483086

Published: 1 July 2002

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