Objective Image Quality Assessment Based on Gradient Complex Matrix

Structural information was described by gradient to improve the consistency of objective image assessment method with subjective method.The effect of the edge structure in the image quality was emphasized accordingly.Singular value decomposition was performed on gradient distribution complex matrix.The similarity of the singular vectors of the reference image and the distorted image was used to measure the structural similarity of the two images.Then the numerical quality assessment results were achieved.Result from experiments shows that the gradient distribution can emphasize the edge information.The proposed method is better consistent with human visual system characteristics than MSE and MSVD method based on simple pixel value distribution.