An image quality assessment metric based contourlet
In reduced-reference (RR) image quality assessment (IQA), the visual quality of distorted images is evaluated with only partial information extracted from original images. In this paper, by considering the information of textures and directions during image distortion, we propose a new reduced- reference IQA metric to calculate the diversifications based on contourlet transform Experimental results illustrate that even with low data rate, the presented metric has still good consistency with the subjective perception.