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GridSAR: Grid strength and regularity for robust evaluation of blocking artifacts in JPEG images

机译：GridSAR：网格强度和规则性，用于对JPEG图像中的块状伪像进行稳健的评估

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摘要

Images are subject to blocking artifacts when they are compressed using the JPEG standard. Knowing the extent of blocking artifacts is thus necessary for such applications as automatic quality monitoring and restoration. The current blocking artifacts measures are based on a strong prior that the block boundaries are known in advance, which often does not hold in real-world applications. Therefore, their performances degrade significantly when block boundaries are misaligned. To address the problem, this paper presents a robust no-reference blocking artifacts evaluation metric for JPEG images based on grid strength and regularity (GridSAR). The underlying idea is to extract block grids from a JPEG image and quantify the grid image to evaluate the strength of blocking artifacts. To this end, a grid map of blocking artifacts is first extracted from the image in the spatial domain. Then the blocking artifacts of the image are evaluated by quantifying the strength and regularity of the grid image. Furthermore, in order to account for the varying sensitivities of human eyes to the blocking artifacts in smooth and textured areas, a masking function is also proposed. Experimental results on seven popular image quality databases demonstrate that GridSAR achieves the state-of-the-art performance, and is robust to block misalignments. (C) 2015 Elsevier Inc. All rights reserved.
机译：使用JPEG标准压缩图像时，图像会出现块状伪影。因此，对于诸如自动质量监控和恢复之类的应用，必须知道阻塞伪影的程度。当前的阻塞伪影度量基于一个很强的先验知识，即事先知道块边界，这在现实应用中通常不适用。因此，当块边界未对齐时，它们的性能将大大降低。为了解决这个问题，本文提出了一种基于网格强度和规则性（GridSAR）的鲁棒的JPEG图像无参考阻塞伪影评估指标。基本思想是从JPEG图像中提取块状网格并量化网格图像以评估块状伪像的强度。为此，首先从空间域中的图像中提取出块状伪影的网格图。然后，通过量化网格图像的强度和规则性来评估图像的块状伪影。此外，为了解决人眼对平滑和纹理区域中的遮挡伪影的敏感度的变化，还提出了遮盖功能。在七个流行的图像质量数据库上的实验结果表明，GridSAR达到了最先进的性能，并且对于阻止未对准具有强大的作用。 （C）2015 Elsevier Inc.保留所有权利。

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