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Enhancement method and device for low light image

A low-light, image technology, applied in the field of image processing, can solve problems such as halo generation and noise increase

Inactive Publication Date: 2020-12-29
PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a low-light image enhancement method and device, which solves the technical problem that the image enhancement method based on retinal technology in the prior art will increase potential noise and the result of image enhancement will produce halos

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  • Enhancement method and device for low light image
  • Enhancement method and device for low light image

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Embodiment Construction

[0023] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0024] It should be understood that the term "and / or" used herein is only an association relationship describing associated objects, which means that there may be three relationships, for example, A and / or B, which may mean that A exists alone, and A and B exist simultaneously. B, there are three situations of B alone. In addition, the chara...

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Abstract

The invention provides a low-light image enhancement method and device. The method includes: calculating the enhancement gradient of at least one channel image of the original image; establishing an objective function for solving the brightness component and reflection component of the at least one channel image; The objective function of the image is solved to obtain the brightness component and reflection component of at least one channel image; the enhanced image of at least one channel is calculated based on the brightness component and reflection component of the at least one channel image; the enhanced image of each channel is synthesized, Or the enhanced image of a certain channel is combined with the original image of other channels to form an enhanced low-light image. Since the reflection component and brightness component are not solved in the logarithmic domain in the objective function, the noise in the image is effectively suppressed, and the 1 norm is constrained when constraining the gradient of the brightness component, so it can effectively avoid image enhancement. The phenomenon of haloing in the result.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to a method and device for enhancing a low-light image. Background technique [0002] Low-light images refer to images captured under low-light conditions, which usually contain different degradation phenomena. Examples include poor visibility, low contrast, and high noise. Although professional equipment and advanced photography skills can reduce these degradations to a certain extent, noise in low-light conditions is inevitable and currently cannot be solved at the hardware level. Therefore, for ordinary consumers, it is very critical and practical to enhance low-light images with denoising effects through software means. [0003] In the prior art, the method based on retinal technology has a better effect for enhancing low-light images. It assumes that the image can be split into two components, reflectance and luminance. The single-retina ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/92G06T5/70
Inventor 李马丁刘家瑛杨文瀚郭宗明
Owner PEKING UNIV
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