Night effect removal method for camera-collected video

A camera and video technology, applied in the field of video processing, can solve problems such as being unsuitable for wide application, difficult to work normally, and poor light.

Inactive Publication Date: 2012-09-12
JIANGSU HUAFENG INTERNET OF THINGS TECH
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  • Description
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AI Technical Summary

Problems solved by technology

The demand for color and detail information in the picture cannot be met
Moreover, the price of infrared cameras is relatively high, which is not suitable for wide application.
Ordinary cameras are difficult to work normally at night, the brightness is low at

Method used

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  • Night effect removal method for camera-collected video
  • Night effect removal method for camera-collected video
  • Night effect removal method for camera-collected video

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Embodiment Construction

[0055] The purpose of the present invention is the method research and realization of the fixed scene of video surveillance. We illustrate our method with a section of traffic video surveillance of Xitucheng Road, and the method of other fixed scenes can be realized accordingly.

[0056] The present invention is mainly described from the following four parts: color model processing, denoising, deblurring and super-resolution enhancement, background and foreground fusion.

[0057] 1. Color model processing

[0058] Under night conditions, the scene is dark and the contrast is low. In addition to the impact of vehicle lights and the reflection of the lights on the ground, ordinary cameras cannot work normally in dark night conditions. Due to the dark light at night, the brightness of the image must be increased first, but the color information of the image must be maintained. The traditional method of increasing the brightness of the image is to directly increase the brightness ...

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Abstract

The invention discloses a night effect removal method for a camera-collected video, comprising the following steps of: collecting images of a same scene at daytime under various light conditions to form a set; training samples, creating a dictionary and setting a threshold; carrying out color model processing and denoising for an image collected at night; calculating a background image according to the threshold; successively obtaining the image of every frame of a streaming video collected at night; carrying out the color model processing and denoising to get a foreground image; integrating the foreground image with the background image; and removing the noise and storing integrated images in a new video file until the image of the last frame of the video stream is treated. The night effect removal method for the camera-collected video has simple processes, and high efficiency; is capable of effectively removing night effect of a monitoring video at night for a fixed scene and improving the contours and colors of the objects in the monitoring video, thereby enabling the effect of the whole image to be close to the image at daytime, obtaining detail information of the images easily, and obtaining a video effect close to that at daytime.

Description

[0001] technical field [0002] The invention relates to a video processing technology, in particular to a nighttime effect removal method for video collected by a camera. Background technique [0003] In terms of video processing technology, the traditional processing of night images is relatively simple, mainly by increasing the brightness of image pixels to increase the brightness of the entire image. [0004] Night image enhancement based on nonlinear inverse tone mapping. In recent years, various tone mapping algorithms have been developed. One of the complex algorithms is based on the method of contrast or gradient domain. These algorithms focus on the maintenance of contrast rather than the mapping of brightness. The idea of ​​this method originates from the fact that the human eye is most sensitive to contrast or the brightness ratio of different brightness regions. . This kind of tone mapping usually produces very sharp images due to better preservation of contras...

Claims

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Application Information

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IPC IPC(8): H04N5/217H04N9/64
Inventor 明安龙傅慧源吴世新
Owner JIANGSU HUAFENG INTERNET OF THINGS TECH
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