Summary form only given. A new approach is proposed to solve the blocking artifact problem that results from block transform-based image compression at very low-bit rates. The recasting of the blocking artifact problem into the domain of AWGN reduction allows any algorithm that has been developed for image denoising to now be a candidate solution for the blocky image problem. Furthermore, experimental results that are based on a wavelet-based image denoising technique are reported.
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