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Using edge direction information for measuring blocking artifacts of images

机译:使用边缘方向信息来测量图像的块状伪像

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Block-based transform coding is the most popular approach for image and video compression. The objective measurement of blocking artifacts plays an important role in the design, optimization, and assessment of image and video coding systems. This paper presents a new algorithm for measuring blocking artifacts in images and videos. Instead of using the traditional pixel discontinuity along the block boundary, we use the edge directional information of the images. The new algorithm does not need the exact location of the block boundary thus is invariant to the displacement, rotation and scaling of the images. Experiments on various still images and videos show that the new blockiness measure is very efficient in terms of computational complexity and memory usage, and can produce blocking artifacts measurement consistent with subjective rating.
机译:基于块的变换编码是最流行的图像和视频压缩方法。块状伪像的客观测量在图像和视频编码系统的设计,优化和评估中发挥着重要作用。本文提出了一种用于测量图像和视频中的块状伪像的新算法。代替使用沿块边界的传统像素不连续性,我们使用图像的边缘方向信息。新算法不需要块边界的精确位置,因此对于图像的位移,旋转和缩放不受影响。在各种静止图像和视频上进行的实验表明,新的块状性度量在计算复杂性和内存使用方面非常有效,并且可以产生与主观评分一致的块状伪像测量。

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