Fast adaptive fuzzy post-filtering for coding artifacts removal in interlaced video
The paper presents a new method using fuzzy filtering to remove the coding artifacts in compressed video. The method takes the interlaced video format into consideration and processes each field separately. For deblocking, a 1D fuzzy filter with different window sizes is used to remove the horizontal and vertical blocking artifacts respectively. For deringing, each 8/spl times/8 block in a field is first classified into one of the four categories, i.e., strong edge, weak edge, texture and smooth blocks. According to each block's type and the neighboring block's type, the spread parameter of a 2D fuzzy filter is adaptively decided and the filter is applied To speed up the process, the fuzzy filter weights are generated using a piecewise linear membership function instead of the conventional Gaussian function. Experimental results show that the proposed method has better detail preservation and lower computational costs than our previous method. It achieves comparable deblocking and superior deringing performance to the MPEG-4 standard method at similar computation costs.