A Compressed Sensing Image Reconstruction Method Based on Multi-view Image
A multi-view image, compressed sensing technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as low image quality
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[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 acquired. These image data are very low-quality compressive sensing preliminary reconstruction images.
[0059] 2. Generate a dynamic image...
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