Efficient image denoising using side information

S. Sandeep Pradhan, Kannan Ramchandran · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000

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.

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