A novel spatial information recovery algorithm based on fuzzy clustering in H.264

H. Shen, X. Zhu
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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.
H.264中基于模糊聚类的空间信息恢复算法
由于帧内错误隐藏无法获得参考帧,减少空间重构图像的退化是错误隐藏的关键技术之一。提出了一种基于模糊聚类的H.264帧内空间错误隐藏算法。该算法为模糊聚类提供了一种新的特征向量选择和相似度度量方法。实验结果表明,该算法可以改善边缘细节,获得更好的恢复图像主观质量,提高峰值信噪比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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