Image Quality Assessment Based on Visual Segmentation Map
Xiaolin Gui · Computer Knowledge and Technology · 2012
Image quality assessment is one of hot research fields of image processing.The traditional method of image quality assessment starts from the overall image,which does not fully take the process of image visual perception into account.And it always causes the evalua tion result of the conventional algorithms does not match the ones of human vision.In this paper,the Itti human visual attention model is taken to get the image salient points,then use the segmentation map which getting from some segmentation algorithms,and use the right value of segmented region to calculate the image quality assessment.The experiment in LIVE image database show that,the method given by this paper is closer to image subjective evaluation presented by DMOS value,than the MSE(Mean Square Error) and PSNR(Peak Sig nal Noise Ratio).