The invention provides an optimization-based measurement matrix imaging method. The method comprises the steps: 01) carrying out Fourier transform on a target image to obtain K-space data; 02) carrying out sampling on the K-space data through a sampling matrix to obtain sampled signals for transmission; 03) carrying out sparse transformation on the target image to enable a reconstructed signal to be K-sparse; 04) obtaining sparse coefficients through the sampled signals; and 05) carrying out processing on the sparse coefficients through a fast iteration threshold algorithm to obtain a reconstructed image, wherein the sampling matrix is obtained by carrying out superposition on a random radial sampling matrix and a similar circular ring sampling matrix, and is a variable-density radial similar circular ring matrix meeting non-coherence characteristics with the sparse matrix. The variable-density radial similar circular ring matrix in the method has high randomness and easily meets the non-coherence characteristics with the sparse matrix, so that an image recovery effect is good.

Optimization-based measurement matrix imaging method

The invention discloses an image processing method and device, a computer readable storage medium and equipment The image processing method comprises the steps of obtaining a to-be-processed 2D image; obtaining a texture depth map of the 2D image according to the texture features of the 2D image; dividing the 2D image into a foreground area and a background area; obtaining a motion depth map of the foreground area and a linear depth map of the background area; fusing the motion depth map and the texture depth map to obtain a foreground depth map, and fusing the linear depth map and the texture depth map to obtain a background depth map; fusing the foreground depth map and the background depth map to obtain a depth map of the 2D image; and fusing the 2D image and the depth map of the 2D image to obtain an image with stereoscopic impression Compared with a previous single depth value extraction method, the method for comprehensively extracting the depth value has the advantages that the obtained depth value is more accurate and higher in precision, so that the effect is better when the 2D image is converted into the 3D image or a VR image

Planar-to-three-dimensional image conversion method and device, computer readable storage medium and equipment

The invention discloses an image reconstruction method and an image reconstruction device. The image reconstruction method comprises steps that an to-be-reconstructed image is acquired; the to-be-reconstructed image is divided into at least one to-be-reconstructed image block according to preset sizes; gray change conditions of the at least one to-be-reconstructed image block are determined; when the gray change conditions of the to-be-reconstructed image block satisfy first pre-set conditions, the to-be-reconstructed image block is reconstructed according to a dual-layer dictionary after dictionary training; when the gray change conditions of the to-be-reconstructed image block satisfy second pre-set conditions, the o-be-reconstructed image block is reconstructed through an iteration algorithm based on singular value decomposition. The method is advantaged in that when high resolution reconstruction for the to-be-reconstructed image is carried out, for the to-be-reconstructed image block with smooth gray change, the dual-layer dictionary after training is employed to acquire a projection matrix, for the to-be-reconstructed image block with relatively rich edge details, the iteration algorithm based on SVD decomposition is employed to reconstruct the corresponding high resolution image block, so the relatively good reconstruction effect is acquired, and the reconstruction time can be saved.

Image reconstruction method and image reconstruction device

The invention discloses a depth information obtaining method and apparatus. The method includes steps: reading each frame of video images of a two-dimensional video; performing separation of a stationary area and a moving area on the video images; obtaining first depth information of the stationary area and second depth information of the moving area; obtaining texture depth information of the video images; and obtaining depth information of the video images according to the first depth information, the second depth information and the texture depth information. According to the method and apparatus, mixed depth information of the images is obtained by employing motion information, geometric information, and the texture depth information, the obtained depth information has obvious depth details, the quality of an obtained depth image is better than that by employing single information, the quality of the depth image is effectively improved, and the image is closer to visual features of people.

Depth information obtaining method and apparatus

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Image reconstruction method and image reconstruction device

Depth information obtaining method and apparatus