Recasting Of The Image Deblocking Problem Into The Domain Of Image Denoising
نویسنده
چکیده
A new approach is proposed to solve the blocking artifact problem that results from block transform-based image compression at very low bit-rates. In our approach, we attempt to recover from the quantization noise for the transform coefficients by adding uniform random noise to them. This results in a decompressed image that is corrupted by noise of the AGWN type, rather than a blocky image. This recasting of the blocking artifact problem into the domain of AGWN reduction allows any algorithm that has been developed for image denoising to now be a candidate solution for the blocky image problem. In this research we present initial experiments for this novel approach.
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