Matrix Complementary 2D Image Processing Method Based on Two-level Interpolation
A two-dimensional image and matrix completion technology, which is applied in the field of image processing, can solve the problems of low accuracy of image completion and neglect of image structure information, etc., and achieve the problems of low accuracy, high completion accuracy and strong practicability Effect
Active Publication Date: 2019-11-01
XIDIAN UNIV
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Problems solved by technology
The invention has a wide range of application scenarios, but the method still has shortcomings: only the statistical characteristics of the image are used, the structural information of the image is ignored, and the accuracy of image completion is low
This method has a good recovery effect on image edges, but the method still has the disadvantage that this method can only be used in low-rank data
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[0047] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0048] Refer to attached figure 1 , the steps that the present invention realizes are as follows.
[0049] Step 1, read in the image matrix.
[0050] Read in the M×N image matrix y to be completed, M and N respectively represent the number of rows and columns of the image matrix y;
[0051]Step 2, obtain the reference image matrix.
[0052] Set the value of the missing element in the image matrix y to be completed to zero to obtain the reference image matrix;
[0053] Step 3, obtain the downsampled image matrix.
[0054] The reference image matrix is down-sampled with a step size of 2 to obtain a down-sampled image matrix.
[0055] Step 4, the first level of interpolation.
[0056] The first-level interpolation is performed on the down-sampled image matrix to obtain the down-sampled image matrix after the first-level interpolation of element informati...
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The invention discloses a two-stage interpolation-based matrix completion two-dimensional image processing method, and mainly aims at completing the images, the pixels of which are missing. The method is realized through the following steps of: (1) reading a two-dimensional image matrix; (2) obtaining a reference image matrix; (3) obtaining a down-sampling image matrix; (4) carrying out first-stage interpolation; (5) pre-filtering the down-sampling image matrix after the first-stage interpolation; and (6) carrying out second-stage interpolation. The method disclosed by the invention is not only capable of improving the matrix completion accuracy, but also can be used for the image matrixes, the pixels of which are missing. The method can be used for completing the images, the pixels of which are missing.
Description
technical field [0001] The invention belongs to the technical field of image processing, and further relates to a two-level interpolation-based matrix-completion two-dimensional image processing method in the technical field of two-dimensional image matrix completion. The invention can be used to complement the image with missing pixels, and restore the image meeting the requirements of human vision and computer processing. Background technique [0002] As a powerful emerging branch of signal and image processing technology, matrix completion has become another important signal acquisition tool after compressed sensing. At present, matrix completion is mostly based on low-rank matrices, and it is a new idea to apply interpolation algorithms to image matrix completion. [0003] Zhejiang University disclosed a non-local image restoration method based on low-rank matrix restoration in its patent application "Non-local image restoration method based on low-rank matrix restorati...
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IPC IPC(8): G06T5/00
CPCG06T5/00
Inventor 王晓甜杨晨红石光明陈超林杰李甫张昕王英迪
Owner XIDIAN UNIV