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Removal of compression artifacts using projections onto convex sets and line process modeling

机译:使用凸集上的投影和线过程建模来消除压缩伪影

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We present a new image recovery algorithm to remove, in addition to blocking, ringing artifacts from compressed images and video. This new algorithm is based on the theory of projections onto convex sets (POCS). A new family of directional smoothness constraint sets is defined based on line processes modeling of the image edge structure. The definition of these smoothness sets also takes into account the fact that the visibility of compression artifacts in an image is spatially varying. To overcome the numerical difficulty in computing the projections onto these sets, a divide-and-conquer (DAC) strategy is introduced. According to this strategy, new smoothness sets are derived such that their projections are easier to compute. The effectiveness of the proposed algorithm is demonstrated through numerical experiments using Motion Picture Expert Group based (MPEG-based) coders-decoders (codecs).
机译:我们提出了一种新的图像恢复算法,除了可消除阻塞之外,还可从压缩的图像和视频中消除振铃伪影。此新算法基于凸集投影(POCS)的理论。基于图像边缘结构的线过程建模,定义了一组新的方向平滑约束集。这些平滑度集的定义还考虑到图像中压缩伪影的可见性在空间上变化的事实。为了克服计算这些集合上的投影的数值困难,引入了分而治之(DAC)策略。根据此策略,可以导出新的平滑度集,以便更容易计算它们的投影。通过使用基于运动图像专家组(基于MPEG)的编解码器(编解码器)的数值实验证明了该算法的有效性。

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