Method of using natural image prior-knowledge for multi-image super-resolution reconstruction
A technology of multi-frame images and prior knowledge, applied in the field of image processing, can solve the problem of not being able to capture the statistical characteristics of natural images well, and achieve the effect of reducing time complexity, high computational efficiency and improving quality
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[0044] The present invention will be further described below in conjunction with accompanying drawing.
[0045] In the process of multi-frame image super-resolution reconstruction, the present invention aims at the statistical characteristics of natural images obeying the heavy-tailed distribution. The present invention uses the expert field model obtained through training to simulate the prior distribution of natural images, and improves the accuracy of multi-frame super-resolution reconstruction images. quality. The optimization process of the present invention is relatively simple, avoids excessive calculation amount, and reduces time complexity. The flow chart of the present invention is as figure 1 As shown, it mainly includes several processes of learning prior knowledge of natural images, inputting a series of low-resolution images, initialization, and super-resolution reconstruction.
[0046] Step 1. Training to get the expert field model
[0047] 1-1 Use the studen...
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