Blind removal of image motion blur based on gradient domain and depth learning
A motion blur and deep learning technology, applied in the field of image processing, can solve the problems of obvious image ringing effect, loss of texture details, and long time consumption.
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[0032] The technical solutions and beneficial effects of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0033] Such as figure 1 As shown, the present invention provides a method for blind removal of image motion blur based on gradient domain and deep learning, comprising the following steps:
[0034] Step 1, construct the training data set. Using the guided filtered gradient domain image as the base image, the influence of noise and redundant details can be reduced by guiding the filtered image. will y i Guide filtered gradient domain images and corresponding clear images as samples. guided filtering and L 0 Filtering works on clear images. The original clear image is randomly convolved with different blur kernels, and 1% Gaussian white noise is added to generate a motion blur image.
[0035] The specific image preprocessing process is as follows: figure 2 As shown, it contains the following content:
[0036] (...
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