| Fast Adaptive Fuzzy Post-Filtering for Coding Artifacts Removal in Interlaced Video |
| Citation: |
* Nie, Y,; Kong, H-S, Vetro, A.; Barner, K., "Fast Adaptive Fuzzy Post-Filtering for Coding Artifacts Removal in Interlaced Video", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN: 1520-6149, Vol. 2, pp. 993-996, March 2005 (IEEE Xplore) |
| Date: | March 2005 |
| MERL Contact: | Anthony Vetro |
This paper presents a new method using fuzzy filtering to remove the coding artifacts in compressed video. The method takes interlaced video format into consideration and processes each field format into consideration and processes each field separately. For deblocking, a 1-D fuzzy filter with different window size is used to remove the horizontal and vertical blocking artifacts respectively. For deringing, each 8 X 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 2-D fuzzy filter is adaptively decided and the filter is applied. To speed up the proces, the fuzzy filter weights are generated using a piecewise linear membership function instead of the conventional Gaussian function. The 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. |
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