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Removing the blocking artifacts of block-based DCT compressed images

机译:消除基于块的DCT压缩图像的块状伪像

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One of the major drawbacks of the block-based DCT compression methods is that they may result in visible artifacts at block boundaries due to coarse quantization of the coefficients. We propose an adaptive approach which performs blockiness reduction in both the DCT and spatial domains to reduce the block-to-block discontinuities. For smooth regions, our method takes advantage of the fact that the original pixel levels in the same block provide continuity and we use this property and the correlation between the neighboring blocks to reduce the discontinuity of the pixels across the boundaries. For texture and edge regions, we apply an edge-preserving smoothing filter. Simulation results show that the proposed algorithm significantly reduces the blocking artifacts of still and video images as judged by both objective and subjective measures.
机译:基于块的DCT压缩方法的主要缺点之一是由于系数的粗略量化,它们可能会在块边界处导致可见的伪像。我们提出了一种自适应方法,该方法在DCT和空间域中都执行块减少,以减少块到块的不连续性。对于平滑区域,我们的方法利用了以下事实:同一块中的原始像素级别提供了连续性,我们使用此属性以及相邻块之间的相关性来减少像素在边界上的不连续性。对于纹理和边缘区域,我们应用了一个保留边缘的平滑滤波器。仿真结果表明,该算法显着减少了通过客观和主观判断所判断出的静止图像和视频图像的块状伪影。

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