17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Hong Kong, China November 14-November 16 ISBN: 0-7695-2488-5
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2005.31
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||