Enhancement method of low-illumination color image

A color image, low-illumination technology, applied in the field of image processing, to achieve strong contrast, enhanced low-illumination images, and good results
CN110276729AActive Publication Date: 2019-09-24ZHEJIANG UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG UNIV OF TECH
Publication Date
2019-09-24

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Abstract

The invention discloses an enhancement method of a low-illumination color image. The method comprises the following steps: S1, inputting a low-illumination image; S2, performing color separation on the input image to obtain R, G and B component images; S3, performing homomorphic high-frequency filtering and homomorphic low-frequency filtering on the three component images to respectively obtain high-frequency and low-frequency images of each component; S4, performing linear scaling transformation on the low-frequency image of each component; S5, performing multi-scale Retinex algorithm processing on the high-frequency image of each component; S6, combining the high-frequency image and the low-frequency image after each component is processed; and S7, combining the three component images to obtain an enhanced low-illumination color image. According to the method, the low-illumination color image is enhanced, so that the enhanced image is clearer in detail and higher in contrast ratio, and a better visual effect is achieved.
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Description

technical field

[0001] The invention relates to image enhancement technology in the field of image processing, in particular to an enhancement method for low-illuminance color images. Background technique

[0002] With the rapid development of computer technology and ARM technology, image processing is widely used in many application fields such as aerospace, military, biomedicine and artificial intelligence. Image augmentation provides a key step in image processing. For pictures in dark environments, many unknown contents cannot be displayed, which will lead to loss of important information. For example, in low-light conditions such as night and darkness, video surveillance captures traffic conditions, daily color image processing, ships, images of night criminals, mine images, etc. Therefore, research on low-light image enhancement methods is extremely valuable.

[0003] Homomorphic filtering and Retinex algorithm are relatively important processing methods in the field...

Claims

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