Abstract

One of the most exciting areas of application for digital image restoration is that in the field of image and video coding. Even though coding efficiency has improved and bit rates of coded images have reduced, there is another problem of blocking artifacts. These are as a result of the coarse quantization of transform coefficients used in typical image and video compression techniques. Already, much has been accomplished to model these types of artifacts, and develop ways of restoring coded images as a postprocessing step to be performed after decompression

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