Post-processing of video sequences using deblocking and adaptive trilateral filtering

Abstract

Image and video compression algorithms may yield visual annoying artifacts for limited bit rates. The quality of compressed video signals may be improved by reducing blocking and ringing artifacts. For removing the blocking artifact, a quality measure of a block-based coded image is used to decide filtering modes. Based on filtering modes, the images are segmented into three classes and a specific deblocking filter is applied to each class. An adaptive method for extending the bilateral filter to a trilateral filter is introduced for removing the ringing artifacts. The spread parameters of the trilateral filter are selected adaptively using texture and edge mapping. The analysis of objective and subjective experimental results shows that the proposed algorithm is robustly successful in artifact reduction of low-bit rate H.264 video sequences.

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