Real time video defogging method

A real-time video and video image technology, applied in image data processing, instrumentation, computing and other directions, can solve the problems of reduced imaging quality, high computational complexity, foggy images without dehazing enhancement, etc., and achieve a high computing speedup ratio. , the effect of low computational complexity and high real-time performance

Active Publication Date: 2016-04-13
XIAN AVIATION COMPUTING TECH RES INST OF AVIATION IND CORP OF CHINA
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Problems solved by technology

[0002] With the development of computer technology and video image technology, the imaging quality of airborne video sources is greatly reduced in complex environments such as smog, rain, snow, and dust, which greatly affects the human eye's perception and judgment of the environment.
Traditional video defogging algorithms are difficult to meet t

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Example Embodiment

[0020] Taking a certain type of DSP embedded system as an example, the method is executed in a multi-core programming mode, and a fixed-complexity calculation method is used for real-time defogging and enhancement of video images, including the following steps:

[0021] The first step is to scan the input foggy image point by point according to the multi-core parallel, and find the minimum value of the red, green and blue channels and store it as the minimum image.

[0022] The second step is to use the VanHerk minimum filter algorithm to perform local minimum filtering of the minimum image. Due to the separable feature of the minimum filter, after filtering the image in the row direction once, perform the column direction filtering again to find the regional minimum. Store as the initial value of the dark channel.

[0023] The third step is to perform guided filtering on the input dark channel initial value image, and use the input foggy image as the guided texture image, and perfor...

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Abstract

The invention provides a real time video defogging method. According to the method, the demand for defogging performance is satisfied; the calculation complexity is relatively low and the real time performance is relatively high. The method comprises: firstly, with respect to an input foggy video image, carrying out minimum value solution on red, green and blue three channels pixel by pixel, then carrying out parallelized rapid local minimum value filtering, thus obtaining a dark channel initial image; successively carrying out blocking according to rows and columns, filtering to obtain a final dark channel image; secondly, carrying out histogram statistics, setting a dark channel threshold value, dividing the input fogging image according to the dark channel threshold value, only counting the average colors of the points with corresponding dark channel numerical values more than the dark channel threshold value as atmosphere color parameters; and finally, carrying out reverse solution according to a dark channel physical model, thus obtaining the defogged enhanced video image as the output.

Description

Technical field: [0001] The invention belongs to the field of computer video processing, in particular to a method for real-time video defogging enhancement. Background technique: [0002] With the development of computer technology and video image technology, the imaging quality of airborne video sources is greatly reduced in complex environments such as smog, rain, snow, and sand, which greatly affects the perception and judgment of the environment by the human eye. Traditional video defogging algorithms are difficult to meet the requirements of airborne real-time processing due to their high computational complexity. However, general simple image enhancement algorithms cannot meet the performance requirements of video defogging. In many scenarios, it does not have the effect of defogging and enhancing the output of foggy images, but degrades the quality of video images. Therefore, there is a need for a video data processing method that not only meets the requirements of...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/003
Inventor 程岳文鹏程李亚晖张东红王海鹏白林亭
Owner XIAN AVIATION COMPUTING TECH RES INST OF AVIATION IND CORP OF CHINA
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