A time-series-based adaptive enhancement method for forward and reverse traffic images
A self-adaptive enhancement, time-series technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as unsatisfactory shooting effect and insufficient exposure of the subject, and achieve the effect of improving adaptability
Active Publication Date: 2018-01-12
WUHAN UNIV
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Problems solved by technology
Since the background occupies a larger frame than the subject, the exposure of the subject is not sufficient, resulting in unsatisfactory shooting effect
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[0025] see figure 1 , figure 2 , a time-series-based adaptive enhancement method for forward and reverse light traffic images proposed by the present invention, comprising the following steps:
[0026] Step 1: Obtain the original collected traffic image;
[0027] Step 2: convert the original traffic image from RGB color space to HSV color space;
[0028] Step 3: extract traffic image V (brightness) component channel data;
[0029] Step 4: According to the time series, analyze the cause of forward and reverse light, and the change trend of forward and reverse image features, and obtain the forward and reverse light compensation model according to the change of forward and reverse light phenomenon over time.
[0030] The change of forward and reverse light varies depending on the orientation of the intersection. At north-south intersections, the direct sunlight direction and imaging angle are about 90 degrees, and the forward and reverse light phenomenon is not obvious. At ...
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The invention discloses a time-series-based self-adaptive enhancement method for forward and reverse light traffic images. The method can be applied to the field of traffic video monitoring, and is a fast and effective method for realizing traffic image enhancement. This method aims at the reasons for the occurrence of forward and reverse light, analyzes the conditions for the occurrence of forward and reverse light, and at the same time, according to the characteristics of the forward and reverse light images, obtains the corresponding compensation and enhancement method for the forward and reverse light images. Before enhancing the traffic monitoring image, the image is converted from the RGB color space to the HSV color space. On the basis of keeping the color information of the image unchanged, the non-linear adaptive compensation of the brightness histogram is performed using the forward and reverse light compensation model and the brightness feedback model. , combining the compensated luminance component with the chroma component and saturation component, converting to the RGB color space to obtain an enhanced picture. Using the enhancement method of the present invention to process the traffic image under the condition of forward and reverse light can provide the user with the traffic image with the best visual effect.
Description
technical field [0001] The invention relates to a time-series-based self-adaptive enhancement method for forward and reverse light traffic images, belongs to the field of intelligent transportation systems, and is a fast and effective method for realizing traffic image enhancement. Background technique [0002] The purpose of traffic image enhancement is to enhance the useful information in traffic images, such as people or cars in the image. The original unclear in the image becomes clear or emphasizes some interesting features, such as the license plate or human facial features in the image, expands the difference between different object features in the image, suppresses uninteresting features, and improves the image High quality, rich information, enhanced image interpretation and recognition effects, to meet the needs of actual traffic monitoring and analysis. With the rapid development of the field of intelligent transportation, issues such as image processing and com...
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IPC IPC(8): G06T5/00
Inventor 郑宏刘操
Owner WUHAN UNIV