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A compressed perceptual image reconstruction method based on multi-view images

A multi-view image, compressed sensing technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of low image quality and achieve the effect of clear details.

Active Publication Date: 2019-03-12
BEIJING UNIV OF TECH
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Problems solved by technology

[0004] To sum up, the existing multi-viewpoint image reconstruction algorithms obtain low image quality through the under-sampling reconstruction of compressed sensing technology, which has certain limitations.

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  • A compressed perceptual image reconstruction method based on multi-view images
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  • A compressed perceptual image reconstruction method based on multi-view images

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Embodiment Construction

[0053] In order to describe the technical content of the present invention more clearly, further description will be given below in conjunction with specific examples:

[0054] The frame diagram of the present invention is as figure 1 , the specific implementation process is divided into two stages, the constraint condition preparation stage and the joint model reconstruction stage.

[0055] 1. Preparatory stage for constraints

[0056] The preparation phase of constraints is divided into four steps: obtaining reconstructed images and multi-view image sets, generating dynamic image sets, image prediction, and computing low-rank tensor approximations.

[0057] 1. Obtain reconstructed images and multi-viewpoint image sets

[0058] First, the target image i to be reconstructed and its corresponding series of multi-viewpoint image sets are obtained. These image data are very low-quality compressive sensing preliminary reconstruction images.

[0059] 2. Generate a dynamic image...

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Abstract

The invention discloses a compression perceptual image reconstruction method based on multi-view images. Firstly, for each target reconstruction, a corresponding dynamic image set is selected by calculating a parallax compensation size between images, and then multi-view image reconstruction is realized based on the selected dynamic image set. In the reconstruction process, high-quality reconstruction results are obtained according to the adaptive total variational regularization constraint based on disparity compensation and non-local low-rank tensor constraint.

Description

Technical field: [0001] The invention relates to the field of computer image processing, in particular to a method for compressive sensing reconstruction based on multi-viewpoint images. Background technique: [0002] In recent years, many emerging applications require cameras to simultaneously record multi-directional images from different perspectives of the same scene, such as surveillance systems, robotics, and medical imaging. In addition, with the widespread application of single-pixel imaging technology, single-pixel cameras will directly generate a series of multi-view compressed sensing images. However, the application of compressed sensing technology to the field of multi-view image reconstruction often has the problem of low image reconstruction quality caused by undersampling, which makes these multi-view images unable to meet the above application requirements. [0003] Compressed sensing reconstruction algorithms for multi-view images have made great progress,...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/20004G06T5/90
Inventor 王瑾朱佳乐朱青
Owner BEIJING UNIV OF TECH
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