Image correction method and device based on mobile photographing, electronic equipment and medium

Abstract

The invention relates to an image processing technology, and discloses an image correction method based on mobile photographing, comprising: inputting an original image into a generative adversarial network model to obtain a standard grayscale image, with the generative adversarial network model being obtained by training an image training set and a grayscale image set; inputting the original image into the standard generative adversarial network model to obtain a standard grayscale image; performing noise reduction on the standard grayscale image by using a Gaussian filter to obtain a noise-reduced image; performing block binarization on the noise-reduced image to obtain a binarized image, and scanning the binarized image by using an edge detection algorithm to obtain image edge coordinates; and correcting the original image according to the image edge coordinates to obtain a corrected image. The invention further provides an image correction device and equipment based on mobile photographing and a storage medium. The invention also relates to a block chain technology, and the original image can be stored in a block chain node. According to the invention, the image can be accurately corrected.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image correction method, device, electronic equipment and computer-readable storage medium based on mobile photography. Background technique [0002] In the processing of contracts, receipts, etc., the subject of the business processing is often identified by signature or seal. After the business is processed, the signature or seal is often required to be verified. With the development of computer technology, verification by electronic means has been realized. In the prior art, when electronic means are used for verification, special equipment (such as a high-speed camera) is often required to shoot at a specific angle. When using ordinary When the image acquisition equipment is collected, the image is often deformed due to the randomness of the shooting angle, which makes it impossible to quickly and accurately identify the target objects such as signatures a...

AI Technical Summary

Problems solved by technology

With the development of computer technology, verification by electronic means has been realized. In the prior art, when electronic means are used for verification, special equipment (such as a high-speed camera) is often required to shoot at a specific angle. When using ordinary When the image acquisition equipment is collected, the image is often deformed due to the randomness of the shooting angle, which makes it impossible to quickly and accurately identify the target objects such as signatures and seals from the image. Therefore, there is an urgent need for an image correction method. method to improve the recognition rate of identifying targets such as signatures and seals from images

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