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Robust and comprehensive low-quality illumination image enhancement method based on Retinex

An image enhancement and low-quality technology, applied in the field of image processing, can solve the problems of difficult recognition, low image information content, and difficult analysis, etc., and achieve the effect of brightness enhancement, good enhancement effect, and artifacts

Active Publication Date: 2019-12-13
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a robust and comprehensive low-quality illumination image enhancement method based on Retinex to solve the problem of darker low-quality illumination in the fields of clinical medicine, machine vision, image recognition, public transportation and security. Difficult to analyze, difficult to identify, and low in image information under low lighting conditions

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  • Robust and comprehensive low-quality illumination image enhancement method based on Retinex
  • Robust and comprehensive low-quality illumination image enhancement method based on Retinex
  • Robust and comprehensive low-quality illumination image enhancement method based on Retinex

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Embodiment Construction

[0052] The present invention will be further described below in combination with the accompanying drawings and specific embodiments.

[0053] A kind of robust and comprehensive low-quality illumination image enhancement method based on Retinex, at first, introduce bright channel and carry out preliminary estimation to the intensity image in Retinex model, not only make the intensity image estimated by the algorithm among the present invention and real illumination image closer At the same time, because the three channels are proportionally enhanced, the color information of the final enhanced image will be consistent with the original image. Secondly, in order to make the estimation of the incident light more accurate and correct the phenomenon that the illumination edge generated in the bright channel step shifts to the low illumination part, two morphological closing operators are used to modify the global illumination intensity distribution; in addition, in order to avoid A...

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Abstract

The invention relates to a robust and comprehensive low-quality illumination image enhancement method based on Retinex, and belongs to the technical field of image processing. The method comprises thefollowing steps: firstly, introducing a bright channel to carry out preliminary estimation on a brightness image in a Retinex model; secondly, modifying global illumination intensity distribution through two morphological closed operators; then, correcting the artificial edge by using a guide filter to obtain an estimated illumination image; and finally, separating the illumination image in the original image by using a Retinex algorithm to obtain a high-quality illumination image. Compared with other enhancement methods based on Retinex, the method provided by the invention has the advantages that the enhancement effect is better, the brightness is more uniform after enhancement, artifacts are not generated, and an excessive sharp effect is not generated at the edge.

Description

technical field [0001] The invention relates to a robust and comprehensive low-quality illumination image enhancement method based on Retinex, which belongs to the technical field of image processing. Background technique [0002] The external lighting environment will affect the final imaging effect of the image acquisition device. For example, under the condition of sufficient and evenly distributed light during the day, the image acquisition device can obtain a good imaging effect. However, in environments with uneven lighting or poor lighting, such as shadows, darker areas with light sources, or night or low-light indoors, for example, images containing illuminated areas and non-illuminated areas in daytime imaging, night imaging Including light area and no light area, night scene and so on. In the imaging environment, low brightness or uneven brightness distribution will lead to unclear details in the darker parts of the imaging results, susceptible to noise, indistin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/30G06T5/20
CPCG06T5/30G06T5/20G06T2207/20192G06T5/94
Inventor 柳翠寅吴方龙
Owner KUNMING UNIV OF SCI & TECH
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