一种基于MRF的自适应去块算法

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI:10.1109/ICTAI.2005.31

S. Xie, Zhiliang Xu

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引用次数: 5

摘要

基于块的离散余弦变换(BDCT)的主要缺点之一是低比特率下的块伪影。提出了一种基于马尔可夫随机场的自适应块化算法。提出了一种基于人类视觉系统(HVS)的块伪影可见性函数，并结合边缘信息构造了一种新的自适应磁流变函数。实验结果表明，该算法有效地降低了图像的块伪影，并保持了原始边缘的忠实性

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An adaptive de-blocking algorithm based on MRF

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

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来源期刊

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)

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