70results about How to "Increase feature dimension" patented technology

The invention discloses a non-reference high-dynamic range image objective quality evaluation method. The method comprises the following steps: representing an image as third-order tensor, performingtensor decomposition on a distorted high-dynamic range image by using a Tucker decomposition algorithm in the tensor decomposition since the chromaticity information has important effect in the high-dynamic range image quality evaluation, thereby obtaining a first channel integrated with the brightness distortion and the chromaticity distortion as a first feature image; extracting distortion information on the first feature image, wherein the first feature image further comprises the distortion of the chromaticity channel in comparison with the way of extracting the distortion information onlyon the brightness channel, the data size is same as that of the brightness channel, and the additional data size cannot be increased; and combining a tensor domain sensing feature vector extracted from the first feature image with a support vector regressive training model to obtain an objective quality evaluation value of the distorted high-dynamic range image. Therefore, the objective quality evaluation of the non-reference high-dynamic range image is realized, the evaluation effect is obviously improved without using the reference image.