Image processing model training method, document image processing method and equipment

Abstract

The invention provides an image processing model training method, a document image processing method and equipment. The method comprises the following steps: respectively adding noise into a plurality of noise-free white-background black character images to obtain a plurality of noisy white-background black character images; respectively fusing the noisy white-background black character image with a plurality of background images to obtain a plurality of sample document images, the plurality of background images being a plurality of different scene images; performing color inversion processing on the noise-free white-background black character image to obtain a noise-free black-background white character image; the sample document images and the noise-free black-matrix white character images being in one-to-one correspondence, obtaining a training sample set, the training sample set comprising multiple sets of sample images, and each set of sample images comprising one sample document image and the corresponding noise-free black-matrix white character image; and carrying out model training according to the training sample set to obtain an image processing model so as to carry out de-noising and blackening and whitening processing on an input document image. The image processing model trained by the invention can better retain the text content and can process a plurality of document images at the same time.

Description

technical field [0001] The present application relates to the field of image processing, in particular, to an image processing model training method, document image processing method and equipment. Background technique [0002] With the rapid development of society, various high-tech emerge in endlessly. As a carrier that can transmit a large amount of information, images are widely used in many fields. However, the image will be affected by imaging equipment and external environmental noise during the digitization and transmission process, resulting in poor visualization of the image and affecting the extraction of effective information in the image. For example, in a real scene, in order to obtain the document image, the document image will be electronically scanned, photographed, etc., and the scene during the processing may interfere with the document image, making the document image blurred, which is not possible To fully and clearly display the text content in the im...

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide a training method for an image processing model, a document image processing meth

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