DocumentCode :
2932158
Title :
A novel spatial information recovery algorithm based on fuzzy clustering in H.264
Author :
Shen, Han ; Zhu, Xiu-chang
Author_Institution :
Nanjing Univ. of Posts & Telecommun., Nanjing
fYear :
2007
fDate :
Nov. 28 2007-Dec. 1 2007
Firstpage :
116
Lastpage :
119
Abstract :
As no reference frame can be obtained in Intra-frame error concealment, reducing the degradation of spatial reconstructed image is one of the key techniques in error concealment. In this paper, a novel spatial error concealment algorithm based on fuzzy clustering for Intra-frame in H.264 is proposed. This proposed algorithm gives a new selection of eigenvectors and similarity measurement for fuzzy clustering. The experimental results show that the proposed algorithm can improve the edge details, achieve a better subjective quality of the recovered image and increase PSNR (Peak Signal-to-Noise Ratio) as well.
Keywords :
fuzzy set theory; image reconstruction; video coding; H.264; PSNR; fuzzy clustering; intra-frame error concealment; peak signal-to-noise ratio; spatial error concealment; spatial information recovery algorithm; spatial reconstructed image; Clustering algorithms; Degradation; Discrete cosine transforms; Frequency; Fuzzy systems; Image reconstruction; PSNR; Resilience; Signal processing algorithms; Video sequences; Fuzzy set; H.264; Intra-frame; error concealment; fuzzy clustering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-1447-5
Electronic_ISBN :
978-1-4244-1447-5
Type :
conf
DOI :
10.1109/ISPACS.2007.4445837
Filename :
4445837
Link To Document :
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