What's wrong with mean-squared error?
Digital images and human vision
Quality measurement for monochrome compressed images in the past 25 years
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Image quality assessment based on energy of structural distortion
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Image quality assessment based on perceptual structural similarity
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
A distortion measure for blocking artifacts in images based on human visual sensitivity
IEEE Transactions on Image Processing
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In this paper, a novel image quality assessment based on the characteristics of wavelet coefficients of images and included angle cosine is proposed. Firstly, the normal image and the images assessed are decomposed into several levels by means of wavelet transform respectively. Secondly, the approximation and detail coefficients of normal image are as the referenced sequences and the approximation and detail coefficients of the images assessed are as the comparative sequences respectively. And the included angle cosine values are calculated between the referenced sequences and the comparative sequences respectively. Moreover, image quality assessment matrix of every image assessed can be constructed based on the included angle cosine values and image quality can be assessed. The algorithm makes full use of perfect integral comparison mechanism of included angle cosine and the well matching of discrete wavelet transform with multi-channel model of human visual system. Experimental results show that the proposed algorithm can not only evaluate the integral and detail quality of image fidelity accurately but also bears more consistency with the human visual system than the traditional method PSNR.