Title :
An adaptive de-blocking algorithm based on MRF
Author :
Xie, Shengli ; Xu, Zhiliang
Author_Institution :
South China Univ. of Technol., Guangzhou
Abstract :
One of the major drawbacks in block-based discrete cosine transform (BDCT) is the blocking artifacts at low bit rates. In this paper, an adaptive deblocking algorithm based on Markov random field (MRF) is proposed. A visibility function of blocking artifacts is introduced which based on human visual system (HVS), together with edge information to construct a new adaptive potential function of MRF. The experiment results show that the proposed algorithm reduces the blocking artifacts effectively and preserves the original edges faithful
Keywords :
Markov processes; discrete cosine transforms; edge detection; image coding; Markov random field; adaptive deblocking algorithm; block-based discrete cosine transform; blocking artifacts visibility function; edge information; human visual system; Artificial intelligence; Bit rate; Brightness; Discrete cosine transforms; Filters; Humans; Markov random fields; Nearest neighbor searches; Smoothing methods; Visual system;
Conference_Titel :
Tools with Artificial Intelligence, 2005. ICTAI 05. 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2488-5
DOI :
10.1109/ICTAI.2005.31
