Image restoration method and training method of image restoration model

A technology for repairing models and models, which is applied in image enhancement, image analysis, image data processing, etc., and can solve problems such as limited aspects of consideration, poor image quality, and poor repair effects.

Active Publication Date: 2020-06-23
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the above image repair process, only the information around the area to be repaired is considered,

Method used

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  • Image restoration method and training method of image restoration model
  • Image restoration method and training method of image restoration model
  • Image restoration method and training method of image restoration model

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Embodiment Construction

[0064] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0065] Artificial intelligence is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decis...

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Abstract

The invention discloses an image restoration method and a training method of an image restoration model. The method comprises the steps of obtaining a to-be-restored first target image; extracting target image features of the first target image; based on the target image features, target candidate area information and a target reference image are acquired, and the target reference image carries mode information of the first target image; and repairing the first target image based on the target candidate region information and the target reference image to obtain a target repaired image corresponding to the first target image. In the image restoration process, the consideration of the mode information of the image is added, the consideration is comprehensive, the restoration effect of imagerestoration is improved, and the restored image is more natural.

Description

technical field [0001] The embodiments of the present application relate to the technical field of artificial intelligence, and in particular to an image restoration method and a training method of an image restoration model. Background technique [0002] As a kind of image processing technology, image inpainting technology aims to repair the missing or occluded part of the image according to the image context. The image inpainting task requires the restored image to be as natural as possible and as close as possible to the original image. Through image repair technology, some noise, scratches, deletions and occlusions in the image can be removed to improve image quality. [0003] With the continuous development of artificial intelligence technology, the task of image inpainting has become one of the research focuses in the field of computer vision. The usual image repair process is: use the sample image to be repaired and the standard repaired image to train an end-to-end ...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/005G06T2207/20081
Inventor 向天戈
Owner TENCENT TECH (SHENZHEN) CO LTD
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