The invention discloses a non-reference
color image quality evaluation method based on a local binary pattern. The non-reference
color image quality evaluation method comprises the steps of: calculating
mutual information, a mean value, variance, a
contrast ratio and information entropy of a distorted image, regarding the
mutual information, the mean value, the variance, the
contrast ratio and the information entropy as feature values of the distorted image, and constructing multi-dimensional feature vectors of the distorted image; training the multi-dimensional feature vectors of the distorted image and corresponding
human eye subjective scores by utilizing support vector
regression analysis, so as to obtain a function relationship model between the multi-dimensional feature vectors of the distorted image and the
human eye subjective scores; and regarding multi-dimensional feature vectors of a distorted image to be evaluated as input values of the function relationship model, and acquiring an output value of the function relationship model serving as a quality evaluation value of the distorted image to be evaluated. The non-reference
color image quality evaluation method fully considers color change of the image, and can conduct quality evaluation on the color image more efficiently and precisely.