No-reference digital image quality evaluation based on perceptual masking
基于掩盖效应的无参考数字图像质量评价

From the angle of noise detection, this paper presents a mask-based no-reference approach of image quality assessment. Firstly, the approach improved Hosaka plots method and wiped out the limits on image size. Then this improved method was applied to the image to make plots and modified directional gradients were employed to abstract sub-blocks' noises. Finally, a new image PSNR was computed according to the pollution degree. Experimental results show that this no-reference approach can not only make the subjective assessment in line with the objective one, but also feature a low computational load.