Abstract
A novel content-adaptive enhancement filter is described, which aims at reducing compression artifacts in MPEG-coded video streams. The filter locally selects the most appropriate kernel among a set of pre-defined masks, based upon a classification of the pixels to be processed. The features used in the classification phase take into account the distribution of transform coefficients and the presence of nearby contour pixels, previously detected by an edge extractor. An important aspect of the proposed approach is the low computational complexity, very appealing in the scenario of a typical low-cost consumer application (video communication over the Internet, set-top-box DVB receiver, etc.). Experimental results show that the proposed algorithm outperforms existing approaches with similar level of complexity.
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