2D filter design for coding artifacts reduction using structural similarity as a metric
2D filter design for coding artifacts reduction using structural similarity as a metric
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DOI：
10.1117/12.2590802
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发表时间：
2021-03
期刊：
影响因子：
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通讯作者：
K. Ogawa;Yusuke Kameda;Y. Kita;I. Matsuda;S. Itoh
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文献类型：
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作者：
K. Ogawa;Yusuke Kameda;Y. Kita;I. Matsuda;S. Itoh
本文介绍了一种设计2D柱过滤器的方法，用于减少由有损图像压缩引起的编码工件。尽管通常在此类滤波器设计中使用了平均平方误差（MSE），但就与主观感知一致性而言，它不一定是一种良好的质量衡量标准。在本文中，我们采用了一种更可靠的质量度量，称为结构相似性（SSIM），并得出可以最大程度地提高每个图像的SSIM得分的滤波器系数。
This paper describes a method of designing a 2D post filter for reducing coding artifacts caused by lossy image compression. Though Mean Squared Error (MSE) has been typically used in such filter design, it is not necessarily a good quality measure in terms of consistency with subjective perception. In this paper, we employ a more reliable quality measure called Structural SIMilarity (SSIM), and derive filter coefficients that can maximize the SSIM score for each image.