基于边界平滑度的立体图像错误隐藏

Guijin Tang, Xiuchang Zhu
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引用次数: 4

摘要

错误隐藏可以看作是一种抗错误编码技术。提出了一种恢复立体图像中丢失块的方法。我们首先利用相关性进行视差估计,以匹配丢失的相应块。然后计算每个恢复块的边界平滑度(BSD)。如果BSD超过阈值,则表示边界不连续,这主要是由高细节块、边缘块或遮挡块造成的。因此,我们考虑相邻块的BSD,估计丢失块的内容,并自适应地使用不同的方法来隐藏丢失块。实验结果表明,该算法能极大地提高重建图像的主客观质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Error concealment for stereoscopic images using boundary smooth degree
Error concealment can be regarded as a sort of error resilient coding techniques. This paper proposes a method to recover lost blocks in stereoscopic images. We first utilize the correlation to perform disparity estimation to match the corresponding blocks for lost ones. And then we calculate the boundary smooth degree (BSD) for each recovered block. If BSD exceeds the threshold, it means that the boundary is discontinuous which mainly results from high detailed blocks, edge blocks or occluded blocks. So we consider neighboring blocks' BSD and estimate the content of a lost block, and adaptively use different methods to conceal it. Experimental results show that the proposed algorithm can greatly improve the subjective and objective quality of the reconstructed image.
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