Adaptive post-filtering based on Local Binary Patterns

In this paper, a novel adaptive post-filtering method is introduced for effective video coding. Specifically, an enhanced filtering capability is obtained by partitioning a reconstructed video frame into non-overlapping segments based on local pattern information. Experimental results show that the proposed approach has the potential to produce an enhanced video frame reconstruction with more implementable filters when compared to existing adaptive post-filtering.