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17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)
Hong Kong, China
November 14-November 16
ISBN: 0-7695-2488-5
Shengli Xie, South China University of Technology
Zhiliang Xu, South China University of Technology and Jiang Xi Normal University
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 de-blocking 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.
Citation:
Shengli Xie, Zhiliang Xu, "An Adaptive De-Blocking Algorithm Based on MRF," ictai, pp.710-711, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005
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