A low-illuminance image processing method and device
A low-illumination, image technology, applied in image data processing, image enhancement, image analysis, etc., can solve the problems of noise amplification, loss of details, etc., to achieve the effect of filtering out various noises, enhancing contrast, and preserving colors and details
Active Publication Date: 2018-06-29
PEKING UNIV SHENZHEN GRADUATE SCHOOL
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[0007] This application provides a low-illuminance image processing method and device, which solves the problems of noise amplification and detail loss after low-illuminance image processing
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[0036] The low-illuminance image processing method and device provided in the embodiments of the present application can be applied to video surveillance systems, image processing software, etc., can effectively perform haze removal processing and low-illuminance enhancement processing, and can filter out color noise in image noise reduction and luminance noise, and preserve the color and details of the image as much as possible.
[0037] The present application will be described in further detail below through specific embodiments in conjunction with the accompanying drawings.
[0038] Please refer to figure 1 , this embodiment provides a low-illuminance image processing method and device. The low illumination image processing device includes an input module 101, an image segmentation module 102, a first calculation module 103, a first inverse color module 104, a smoothing filter module 105, a weighting module 106, a second calculation module 107, a third calculation module ...
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A low-illumination image processing method and device, aiming at the problem of noise amplification in the original low-illuminance image contrast enhancement technology, it is proposed to add a noise suppression filter before performing the contrast enhancement operation, and use the first filter coefficient and the second filter The coefficient smoothes the inverse image of a low-light image, suppressing random noise while enhancing image contrast. According to the local intra-block features of the image, the texture and noise level parameters of the image are calculated, and according to the texture and noise level parameters, weighted average is performed on the smoothed first smoothed image and the second smoothed image. After extracting the texture structure of the gradient image of the inverse image, the texture image is obtained, which is added to the weighted image, and the weighted image is sharpened to enhance the details of the image. Therefore, the contrast of low-illumination images can be effectively enhanced, various noises can be filtered out, and the color and details of the image can be preserved to obtain a clear and realistic restored image.
Description
technical field [0001] The present application relates to the field of digital image processing, in particular to a low-illuminance image processing method and device. Background technique [0002] People are increasingly using surveillance cameras to ensure the safety of cities, traffic, public places, etc., and vehicle cameras are also used to improve driving safety. However, low-light conditions (such as night, backlight, indoors, etc.) will greatly reduce the performance of such cameras, making the images and videos captured by them less visible, and it is often difficult to identify key people, objects and other information. The images taken under the above conditions are called low-illumination images. Low-illumination images have various noises, which will become more prominent after image enhancement, thereby reducing the recognizability of the objects of interest in the image and strongly reducing people's subjective feelings. [0003] For traditional image enhance...
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IPC IPC(8): G06T5/00G06T7/11
Inventor 李霖王荣刚唐骋洲王振宇高文
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL