Combined image compression and denoising using wavelets

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摘要

This paper presents a novel scheme for simultaneous compression and denoising of images: WISDOW-Comp (Wavelet based Image and Signal Denoising via Overlapping Waves—Compression). It is based on the atomic representation of wavelet details employed in WISDOW for image denoising. However, atoms can be also used for achieving compression. In particular, the core of WISDOW-Comp consists of recovering wavelet details, i.e. atoms, by exploiting wavelet low frequency information. Therefore, just the approximation band and significance map of atoms absolute maxima have to be encoded and sent to the decoder for recovering a cleaner as well as compressed version of the image under study. Experimental results show that WISDOW-Comp outperforms the state of the art of compression based denoisers in terms of both rate and distortion. Some technical devices will also be investigated for further improving its performances.

论文关键词:Image restoration,Image compression,Wavelets,Thresholding,Overlapping effects principle,Minimum description length principle

论文评审过程:Received 21 June 2006, Revised 23 November 2006, Accepted 23 November 2006, Available online 19 December 2006.

论文官网地址:https://doi.org/10.1016/j.image.2006.11.006

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