Super-resolution restoration network model generation method, image super-resolution restoration method and image super-resolution restoration device
A network model and image technology, applied in the field of image processing, can solve problems such as the inability to balance the repair effect and delay, and the time-consuming over-score repair method.
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[0051] In order to make the above objects, features and advantages of the present application more obvious and understandable, the embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods.
[0052] In the research of image restoration, the inventors found that traditional image restoration methods generally have the problem of unbalanced restoration effect and processing delay, resulting in serious time-consuming. In addition, the traditional image super-resolution restoration method uses Peak Signal to Noise Ratio (PSNR) as an index to perform super-resolution restoration network training. Among them, PSNR mainly calculates the mean square error between the original image and the processed image, which cannot be consistent with the visual effect seen by the human eye, which affects the restoration effect.
[0053] Based on this, the embodiment of the present application p...
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