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Local low-visibility image enhancement method

An image enhancement and visibility technology, applied in the field of computer vision, can solve problems that have not been explored, achieve the effect of vivid and natural colors, eliminate artifacts, and compensate for the loss of saturation

Pending Publication Date: 2022-03-04
KUNMING UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

Not only lighting should be considered and estimated in low-quality lighting image enhancement, but also color saturation should be improved, which has not been explored so far, or rarely

Method used

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  • Local low-visibility image enhancement method
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  • Local low-visibility image enhancement method

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Embodiment Construction

[0066] The present invention will be further described below on the basis of the description in conjunction with the accompanying drawings and specific embodiments.

[0067] Such as figure 1 As shown, a local low-visibility image enhancement method, first convert the image to HSV color space, separate the intensity component to enhance it, obtain the enhancement result, take the saturation component to compensate it, and use the proposed algorithm to compare it with the original saturation Adaptive fusion is performed to purify the area that needs to be purified in color, while other areas have no obvious changes; in the intensity component enhancement, the closed operation of limited expansion and small kernel is used to estimate the illumination intensity distribution and illumination edge distribution of the image respectively; Then, the intensity and edge of the two previously estimated illumination images are fused by using the guided filter; finally, the intensity compon...

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Abstract

The invention relates to a local low-visibility image enhancement method, and belongs to the technical field of computer vision. According to the method, firstly, the brightness of the image is balanced and visualized to obtain the high-visibility image, then the saturation of the high-visibility image is compensated to improve the color purity, and finally, the high-visibility image with bright color is obtained. According to the method, detail information of a dark area can be highly seen again, gradient consistency is greatly reserved, meanwhile, colors are brighter and more natural, and more importantly, compared with other algorithms of the same type, the algorithm has higher efficiency.

Description

technical field [0001] The invention relates to a local low-visibility image enhancement method, which belongs to the technical field of computer vision. Background technique [0002] Scenes in the natural environment will show polymorphic changes at different times and in polymorphic environments, so it is impossible to capture high-visibility images at all times, such as backlight, shadows, night, multi-point light sources and other low-quality lighting environments will appear to varying degrees in the captured image. In a backlight or shadow environment, there is a considerable difference between the light and dark areas, and the details of the light and dark areas cannot be clearly captured at the same time during the image acquisition process of the device. Or in low-light environments, such as night, most of the visual information is hidden in the dark and cannot be seen by machines or humans. In addition to the above-mentioned imaging problems in natural environmen...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/20G06T5/50
CPCG06T5/20G06T5/50G06T2207/20012G06T2207/20221G06T5/94
Inventor 柳翠寅吴方龙
Owner KUNMING UNIV OF SCI & TECH
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