Image Quality Assessment Based on Geometrical Structural Orientation
Image quality assessment takes an important position in image processing field. The structural similarity (SSIM) index describes the similarity of images more appropriately for the human visual system than the mean square error (MSE). By our studying deeply, it is found that the structural information is not represented very well. So there is some weakness about SSIM, especially for assessing the blurred image. By using the structure tensor to get the local contrast and geometrical structural orientation field estimation, an improved index of image quality assessment based on geometrical structural orientation is presented. The experimental results prove its effectiveness.
image quality assessment structural similarity local contrast geometrical structural orientation
Xuan Fei Zhihui Wei Liang Xiao Tianming Zhan
School of Computer Science and Technology, Nanjing University of Science and Technology Nanjing China, 210094
国际会议
长春
英文
43-46
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）