Reduction of Coding Artifacts Using Recursive Line Filtering Based on a Fuzzy Model
作者： Heng Mui , Keng Terrace , Yao Susu
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摘要: In this paper, we propose an effective post-processing algorithm with low computational complexity for removing coding artifacts that severely degrade visual quality of the decompressed images. The proposed method is based on a fuzzy model and recursive filtering. At each iteration, flat regions get smoother while image edges are preserved from blurring. Experimental results show can significantly improve in terms both objective subjective evaluations.
参考文章(6)
T.P. O'Rourke, R.L. Stevenson, Improved image decompression for reduced transform coding artifacts IEEE Transactions on Circuits and Systems for Video Technology. ,vol. 5, pp. 490- 499 ,(1995) , 10.1109/76.475891
Chin-Teng Lin, Chia-Feng Juang, An adaptive neural fuzzy filter and its applications systems man and cybernetics. ,vol. 27, pp. 635- 656 ,(1997) , 10.1109/3477.604107
S. Minami, A. Zakhor, An optimization approach for removing blocking effects in transform coding IEEE Transactions on Circuits and Systems for Video Technology. ,vol. 5, pp. 74- 82 ,(1995) , 10.1109/76.388056
F. Russo, Recent advances in fuzzy techniques for image enhancement IEEE Instrumentation & Measurement Magazine. ,vol. 1, pp. 29- 31 ,(1998) , 10.1109/5289.735974
C.J. Kuo, R.J. Hsieh, Adaptive postprocessor for block encoded images IEEE Transactions on Circuits and Systems for Video Technology. ,vol. 5, pp. 298- 304 ,(1995) , 10.1109/76.465083
A. Zakhor, Iterative procedures for reduction of blocking effects in transform image coding IEEE Transactions on Circuits and Systems for Video Technology. ,vol. 2, pp. 91- 95 ,(1992) , 10.1109/76.134377