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An Enhancement Method for Low Illumination Images

A low-illumination, image-based technology, applied in the field of image processing, can solve problems such as color loss and inconformity with human visual characteristics

Inactive Publication Date: 2019-04-19
GUANGDONG XUNTONG TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current enhancement method for low-light images is mainly to directly enhance the image in the RGB color space, such as the MSRCR algorithm. This processing method is prone to color loss and does not conform to the visual characteristics of the human eye.

Method used

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  • An Enhancement Method for Low Illumination Images
  • An Enhancement Method for Low Illumination Images
  • An Enhancement Method for Low Illumination Images

Examples

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Embodiment Construction

[0073] refer to figure 1 , the invention provides a method for enhancing low-illuminance images, comprising:

[0074] S1. After obtaining the low-illuminance image to be processed, convert it from the RGB color space to the HSV color space to obtain the chroma component, saturation component and brightness component;

[0075] S2. Based on the Retinex algorithm, the brightness component is decomposed into a reflection component and an illumination component by using an alternating minimization method;

[0076] S3. After enhancing the illumination component and the reflection component respectively, synthesizing the enhanced brightness component;

[0077] S4, performing adaptive adjustment processing on the saturation component to obtain an enhanced saturation component;

[0078] S5. Combining the chroma component, the enhanced luminance component and the enhanced saturation component into a new HSV image;

[0079] S6. Convert the obtained new HSV image into an RGB image, and...

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Abstract

The invention discloses a method for enhancing low-illumination images, which includes: after acquiring the low-illumination image to be processed, converting it from RGB color space to HSV color space to obtain chroma components, saturation components and brightness components; based on The Retinex algorithm uses the alternating minimization method to decompose the brightness component into a reflection component and an illumination component; after enhancing the illumination component and the reflection component respectively, the enhanced brightness component is synthesized; and the saturation component is obtained after adaptive adjustment. Enhanced saturation component; synthesize the chroma component, enhanced brightness component and enhanced saturation component into a new HSV image; convert the obtained new HSV image into an RGB image, and perform white balance processing to obtain Enhanced image. The invention can greatly improve the clarity of low-illumination images, enable details to be reproduced, has strong applicability and high robustness, and can be widely used in the field of image processing.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for enhancing low-illuminance images. Background technique [0002] Glossary: [0003] Retinex algorithm: Retinex is the abbreviation of "Retina" (retina) and "Cortex" (cerebral cortex). The Retine algorithm is an image enhancement algorithm based on the human visual system based on scientific experiments and scientific analysis. It can achieve a balance in dynamic range compression, edge enhancement and color constancy, and adapt to various types of images. sexual enhancement; [0004] RGB: Including red component R, green component G, blue component B three components. [0005] HSV: includes three components of chroma component H, saturation component S, and brightness component V. [0006] Under low illumination conditions such as indoors and at night, computer vision monitoring equipment has insufficient illumination of unnatural light sources, so the reflected li...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20172G06T2207/10016G06T2207/10024G06T5/00G06T5/70
Inventor 李明刘峰干宗良吕月圆陈色桃
Owner GUANGDONG XUNTONG TECH