Nighttime traffic monitoring enhancement method based on gradient domain fusion

A technology of traffic monitoring and gradient domain, applied in image enhancement, image data processing, instruments, etc., can solve problems such as quality degradation, and achieve the effect of improving contrast, fine detail information, and prominent detail information

Active Publication Date: 2017-12-15
BEIJING UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Especially on the highway, the strong halo produced by the lights of passing vehicles seriously affects the visual effect of traffic signs and signs, resulting in serious degradation of their quality

Method used

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  • Nighttime traffic monitoring enhancement method based on gradient domain fusion
  • Nighttime traffic monitoring enhancement method based on gradient domain fusion
  • Nighttime traffic monitoring enhancement method based on gradient domain fusion

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Embodiment Construction

[0064] Below in conjunction with the accompanying drawings of the description, take N=3 input images as an example to illustrate the implementation examples of the present invention:

[0065] The overall flowchart of the method proposed by the present invention is as attached figure 1 shown. The algorithm is divided into three parts: image decomposition, calculation of fusion weights, and gradient domain fusion. The input images are all from nighttime high-speed traffic monitoring in real scenes, and the image size is 1920×1080.

[0066] 1) Image decomposition

[0067] For the input N video sequences, the time interval is short or the static scene is decomposed into a halo layer and a scene layer. According to the intrinsic image decomposition principle, each input image I can be represented as a halo layer I G and scene layer I S superposition, as follows:

[0068] I=I G +Ix (1)

[0069] Based on the above, our objective function for image decomposition is:

[0070] ...

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Abstract

The invention discloses a nighttime traffic monitoring enhancement method based on gradient domain fusion, and relates to a digital image processing method. Because there are vehicle lamps, street lamps, building lamps and other active light sources at night, a large amount of halo will be generated till the objects nearby the lamps cannot be seen. In particular, the strong halo generated by the lamps of vehicles on a highway severely affects the visual effect of traffic sign boards, and causes the severe degeneration of the quality of the traffic sign boards. The method enables image fusion and image halo removal to be combined, achieves the processing of the image in the gradient domain, and enables the traffic signs in a final result image to be easy to recognize through the interframe complementation information of a video.

Description

technical field [0001] The invention relates to a digital image processing method, in particular to a nighttime traffic monitoring video image enhancement method based on gradient domain fusion. Background technique [0002] With the development of multimedia information technology, video and images are widely used in all aspects of social production and life. High-quality images can provide rich information and real visual experience, which is the basis of many multimedia applications. However, due to the influence of monitoring distance, lighting environment, rain, snow and haze, motion blur and noise, the quality of traffic surveillance video is usually poor. [0003] Lighting and motion blur are two of the more important factors affecting image quality. Existing studies have carried out related research on different factors that lead to image quality degradation: for the illumination problem, a low-light image enhancement algorithm and a high dynamic range image fusion...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/40G06T7/269G06K9/00G06K9/62
CPCG06T5/40G06T7/269G06T2207/30256G06V20/582G06F18/25
Inventor 李晓光王思敏张辉卓力
Owner BEIJING UNIV OF TECH
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