132results about How to "Improve the accuracy of evaluation" patented technology

The invention provides a stereo image objective quality evaluation method integrating manifold and binocular features. Based on human eye manifold perception, an orthogonal local preserving projection algorithm is used to acquire a matrix after dimensionality reduction and albefaction from a natural scene plane image for training to acquire an optimal mapping matrix. In order to improve the accuracy and stability of evaluation, image blocks which are not important to visual perception are removed. The manifold feature vector of selected image blocks is extracted through the optimal mapping matrix. Structure distortion of a distortion image is measured through manifold feature similarity. The influence of the image brightness variation on a human eye is considered. The brightness distortion of the distortion image is calculated based on the mean of the image blocks. After the manifold similarity and the brightness similarity are acquired, a binocular contention model is used to carry out linear weighting on the quality values of left and right viewpoint images to acquire the quality value of a distortion stereo image. An evaluation result is highly consistent with the subjective perception evaluation result of the human eye.