A Compressed Sensing Multilayer Residual Image Coding Method
A technology of compressed sensing and residual images, applied in image communication, digital video signal modification, electrical components, etc., can solve the problem of high rate distortion in compressed sensing image coding schemes, reduce redundant information, improve rate-distortion performance, Noise reduction effect
Active Publication Date: 2020-11-10
XI AN JIAOTONG UNIV
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[0003] In order to solve the above problems, the present invention provides a compressed sensing multi-layer residual image coding method to solve the problem of high rate distortion of the compressed sensing image coding scheme
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[0055] refer to figure 1 , a multi-layer residual coding method based on compressed sensing theory with high rate-distortion performance is described. The coding end includes the following steps:
[0056] Step 1. Perform compressed sensing random measurement on the input image, record the measurement matrix as Φ, record the original image as x, and express the measurement process as y=Φx;
[0057] Step 2, divide the random measurement matrix into l parts of the same size and independent of each other by row, l is the total number of layers, y=[y 1 ,...,y l ], the true value of the i-th layer random measurement is y i , the i-th layer measurement matrix is denoted as Φ i , l is taken as 10 in the present embodiment;
[0058] Step 3. Denote the measurement process of layer i as y i = Φ i x;
[0059] Step 4. All layers use the same compressed sensing reconstruction algorithm (such as NLR-CS), and the reconstruction algorithm is denoted as CS -1 ;
[0060] Step 5. Rando...
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The invention discloses a compression sensing multi-layer residual image coding method, which is characterized in dividing a compression sensing random measurement process into a plurality of layers,by using the compression sensing reconstruction-measurement model, predicting the random measurements of the current layer based on all the random measurements of the front layer, so as to obtain theresidual between the predicted value and the real value of the current layer. The obtained residuals are used to update the predicted values of the next layer, thus obtaining more accurate reconstructed images. The proposed compressed sensing random measurement prediction and updating process can effectively remove the redundant information between compressed sensing measurements. Compared with traditional compressed perceptual coding scheme, the proposed compression sensing multi-layer residual quantization coding can significantly improve the rate-distortion performance of compression sensing image coding.
Description
technical field [0001] The invention belongs to the technical field of image compression, and in particular relates to a compression sensing multi-layer residual image coding method. Background technique [0002] Compressed sensing technology refers to the technology of reconstructing signals or images below the Nyquist sampling rate. Compressed sensing technology has a wide range of applications in image processing, image retrieval, CT image reconstruction and other fields. Compared with traditional image coding technologies (JPEG, JPEG2000, CCSDS-IDC), image coding technology based on compressed sensing has a large gap in rate-distortion performance. At present, the traditional compressive sensing image coding scheme can only achieve the coding performance of JPEG. The rate-distortion performance of JPEG is low, and the image decompression effect is not good in the field of high image compression ratio. Therefore, it is important to study the compressive sensing coding sc...
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IPC IPC(8): H04N19/147H04N19/124H04N19/42H04N19/184
CPCH04N19/124H04N19/147H04N19/184H04N19/42
Inventor 侯兴松陈赞
Owner XI AN JIAOTONG UNIV