Image processing method and device, readable storage medium and computer equipment

Abstract

The invention discloses an image processing method and device, a readable storage medium and computer equipment. The method comprises the following steps of acquiring a standard blurred image and a standard clear image corresponding to the standard blurred image; carrying out full convolution network training on the standard blurred image and the standard clear image, wherein the full convolutionnetwork comprises at least one training network layer, and each training network layer comprises a convolution layer, a mask activation layer and an ReLU activation layer; acquiring a to-be-processedblurred image; processing the to-be-processed blurred image by utilizing a test full convolution network in order to acquire a clear image corresponding to the to-be-processed blurred image, wherein the test full convolution network comprises at least one test network layer, and each test network layer comprises the convolution layer and the ReLU activation layer. By means of the image processingmethod and device, the readable storage medium and the computer equipment, a problem that the clearness effect of characters during image processing is poor can be solved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image processing method, system, readable storage medium and computer equipment. Background technique [0002] With the development of science and technology, electronic products have been widely popularized. Among them, electronic products with camera functions, such as mobile phones and cameras, are favored by consumers. The image shooting effect of electronic products has affected consumers' purchases. interest. [0003] When people use cameras or mobile phones to take images, the collected images may be blurred due to factors such as out of focus or hand shake. When traditional methods solve this kind of problems, they mainly obtain clear images by estimating the blur kernel and deconvolution. With the development of deep learning technology, some researchers use convolutional neural network to learn blur kernel to achieve image clarity. [0004] When t...

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Problems solved by technology

[0005] For this reason, an embodiment of the present invention proposes an image processing method to solve the problem of poor text clarity during image processing

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