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Image processing method, system and device and medium

An image processing and image quality technology, applied in the field of image recognition, can solve the problems of training super-resolution models, large noise, unreasonable textures, etc., to improve image quality, save human resources, and improve the effect of super-resolution

Active Publication Date: 2021-01-08
GUANGZHOU YUNCONG ARTIFICIAL INTELLIGENCE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is a large difference between artificial images and real images, and the super-resolution algorithm trained with artificial images is less effective in real images, usually manifested as a large amount of noise and unreasonable textures.
As a result, there is currently no way to use real images to train super-resolution models; at the same time, super-resolution models trained with artificial images cannot handle real images

Method used

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  • Image processing method, system and device and medium
  • Image processing method, system and device and medium
  • Image processing method, system and device and medium

Examples

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Embodiment Construction

[0092]The following describes the implementation of the present invention through specific specific examples. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and the features in the embodiments can be combined with each other if there is no conflict.

[0093]It should be noted that the illustrations provided in the following embodiments only illustrate the basic idea of ​​the present invention in a schematic manner. The figures only show the components related to the present invention instead of the number, shape, and number of components in actual implemen...

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Abstract

According to the image processing method, system and device and the medium provided by the invention, an image processing mode is designed for the existing problems, and the mode can distinguish a high-definition image from a low-definition image from a real image; a degradation model is further designed, features of the low-definition images can be learned firstly, simulated low-definition imagesin one-to-one correspondence with the high-definition images are generated, and the problem that a super-resolution model is difficult to train on a real image is solved; meanwhile, a filter mechanism is further designed, the image is split into a high-frequency part and a low-frequency part, and the super-division effect of the real image is remarkably improved. Moreover, the method has universality, and according to different application scenes, the optimal super-resolution effect of the scene can be obtained only by using corresponding real images for training. The image after the image quality is improved through the super-resolution model has the advantages of no color distortion, clear details, sharp edges and good overall impression.

Description

Technical field[0001]The present invention relates to the technical field of image recognition, in particular to an image processing method, system, equipment and medium.Background technique[0002]Image quality is fundamental to the field of computer vision. Whether it is ordinary people's entertainment, target detection, target tracking, image segmentation, unmanned driving, etc., higher and higher requirements for image quality are put forward. However, the real images obtained by shooting equipment may have different contents of high-definition and low-definition images due to factors such as shooting equipment, shooting environment, shooting parameters, and shooting technology; for example, due to old shooting equipment, low-light environment, shooting distance, Factors such as video compression, low-quality images are inevitably produced; therefore, two identical low-definition and high-definition images cannot be found as training data. Therefore, it is necessary to improve the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/00G06T7/00G06K9/62G06N3/04H04N5/232
CPCG06T3/4053G06T7/0002G06T2207/10004G06T2207/30168H04N23/80G06N3/045G06F18/23213G06T5/70
Inventor 姚志强周曦蔡舒啸徐亮蒋韵雯
Owner GUANGZHOU YUNCONG ARTIFICIAL INTELLIGENCE TECH CO LTD
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