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Proceedings Paper

Efficient image denoising using side information
Author(s): S. Sandeep Pradhan; Kannan Ramchandran
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Paper Abstract

Recently a constructive practical framework for the problem of source coding with side information was proposed. In this work we address the problem of denoising of images with side information at the decoder. We propose this with the addition of a side digital channel and decode the digital bits with the help of a noisy image (side information) at the decoder. The encoder needs to compress the image using the knowledge that the decoder has access to a noisy version of the image. We propose a rate allocation technique to optimally allocate the rate among the wavelet coefficients of the image. With a rate of transmission of 0.8175 bits/source sample, we get a gain of 1.665 dB over the conventional source coding techniques. This is achieved by modifying only 9% of the wavelet coefficients in the conventional source coder.

Paper Details

Date Published: 19 April 2000
PDF: 9 pages
Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); doi: 10.1117/12.383027
Show Author Affiliations
S. Sandeep Pradhan, Univ. of California/Berkeley (United States)
Kannan Ramchandran, Univ. of California/Berkeley (United States)


Published in SPIE Proceedings Vol. 3974:
Image and Video Communications and Processing 2000
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Robert L. Stevenson, Editor(s)

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