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Blocking artifact reduction in compressed images based on edge-adaptive quadrangle meshes

机译:基于边缘自适应四边形网格的压缩图像中的伪像减少

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During image deblocking, the preservation of visually significant edges in the image is important. Based on the observation that blocking artifact along edge direction is difficult for human perception, a number of existing techniques have proposed to filter the edge pixels with low weight or bypass them altogether to avoid blurring. However, the un-processed artifacts that are anti-parallel to the edge direction often fragment the edges and seriously degrade visual quality. In this paper, by considering the behavior of intensity evolution along and across edges, we propose a new POCS-based algorithm using a new smoothness constraint set. The new constraint set is realized indirectly by limiting the distance between the coded image and the image simulated using edge-adaptive quadrangle meshes. Experimental results indicated that our method compares favorably with several existing techniques.
机译:在图像去块期间,图像中视觉上显着边缘的保留很重要。基于观察到难以沿边缘方向阻塞伪像的现象,这对于人类的感知而言是困难的,因此许多现有技术提出了以低权重过滤边缘像素或完全绕过边缘像素以避免模糊的技术。然而,与边缘方向反平行的未经处理的伪像经常使边缘碎裂并严重降低视觉质量。在本文中,通过考虑沿边缘和沿边缘的强度演化行为,我们提出了使用新的平滑约束集的基于POCS的新算法。通过限制编码图像与使用边缘自适应四边形网格模拟的图像之间的距离,可以间接实现新的约束集。实验结果表明,我们的方法与几种现有技术相比具有优势。

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