Cheng Jun, Kot Alex C
IEEE Trans Image Process. 2007 Jun;16(6):1691-5. doi: 10.1109/tip.2007.896619.
This paper proposes a new approach to measure the distortion introduced by changing individual edge pixels in binary text images. The approach considers not only how many pixels are changed but also where the pixels are changed and how the flipping affects the overall shape formed by the edge line. Similarities between the edge line segments in the original and distorted image are compared to measure the distortion. Subjective testing shows that the new distortion measure correlates well with human visual perception.
本文提出了一种新方法，用于测量在二值文本图像中改变单个边缘像素所引入的失真。该方法不仅考虑了有多少像素被改变，还考虑了像素在何处被改变以及翻转如何影响由边缘线形成的整体形状。通过比较原始图像和失真图像中边缘线段之间的相似度来测量失真。主观测试表明，新的失真度量与人类视觉感知具有良好的相关性。
