Blind Restoration of Motion Blurred Images Using Improved Generative Adversarial Networks
A motion blurred image, blurred image technology, applied in the field of image processing, can solve the problems of unstable training, difficult calculation, complex parameter adjustment, etc., achieve the effect of academic value, reduce training time, and simplify the recovery process
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[0034] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, taking the entire process of blind restoration of motion blurred images as an example. The preferred embodiments are only for illustrating the present invention, but not for limiting the protection scope of the present invention.
[0035] like image 3 As shown, the improved generative adversarial network includes a generative network G and a discriminative network D. G realizes the spatial mapping from the blurred image to the residual, where the residual represents the difference between the restored image and the blurred image, and D distinguishes the restored image from the clear image.
[0036] The specific process is: divide the blurred image into blocks, input them into G in batches, add the residual blocks output by 15 convolutional layers to the input blurred image blocks, and output the restored image blocks, and input them into D ...
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