32results about How to "Increased PSNR value" patented technology

The invention discloses a two-channel convolutional neural network-based single image super-resolution calculation method. The method comprises the steps of (1) performing fuzzy degradation processing on a known high-resolution image to obtain a low-resolution image with the same size; (2) decomposing the obtained low-resolution image after the fuzzy processing in the step (1) into a texture part and a smooth structure part of the low-resolution image, and obtaining a texture part and a smooth structure part of the high-resolution image; (3) combining the low-resolution texture part obtained in the step (2) and an original low-resolution image to obtain a two-channel input, and obtaining an output of the high-resolution texture part; (4) combining the obtained output of the high-resolution texture part in the step (3) and the original low-resolution image to obtain a final image super-resolution reconstruction result, thereby finishing super-resolution reconstruction; and (5) calculating a difference value between the high-resolution texture parts obtained in the steps (4) and (2) to obtain texture part loss, and minimizing a sum of the texture loss and image loss to optimize network structure parameters.

The invention relates to a method for rate control of video coding, which includes: it allocates the surplus or overruns bit to the follow-up GOP in the controlling method for the GOP layer rate. It sets the quantitative parameters in accordance with the image complexity and pre-bit-rate allocation of I frame to make the use of resources more rationally and effectively in frame-rate controlling method. It controls the quantitative parameters of the current P frames to contain the serious downward trend of P Frame encoding quality due to lack of residual rate when GOP P frame coding rapidly decline.

The invention discloses a partitioning compressed sensing method based on adaptive sampling and smooth projection, and relates to a partitioning compressed sensing method. The objective of the invention is to solve the problems of low quality of reconstructed images and high algorithm complexity in the prior art. The method comprises the following steps: 1, setting an original image, and calculating an adaptive sampling rate of an original image subblock; 2, performing Wiener filtering on the obtained original image sub-block with the known adaptive sampling rate to obtain a reconstructed image subjected to the Wiener filtering process; projecting the jth image sub-block in the reconstructed image to obtain an image sub-block; performing direction transformation to obtain transformed imagesub-blocks, and performing smooth projection to obtain smooth projection image sub-blocks; 3, carrying out image reconstruction according to the smooth projection image sub-blocks, judging whether the obtained reconstructed image meets the requirement for the peak signal to noise ratio of the reconstructed image or not, and if the obtained reconstructed image meets the requirement, obtaining thereconstructed image; otherwise, repeatedly executing the second step and the third step until a reconstructed image meeting requirements is obtained. The method is applied to the field of image reconstruction.