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A processing method and image technology, applied in image data processing, image enhancement, instruments, etc., can solve the problems of image edge detail distortion, cumbersome algorithm and real-time performance, etc.
Active Publication Date: 2014-12-10
BEIJING UNIV OF TECH
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[0006] Aiming at the problems of image edge detail distortion and poor real-time performance of the algorithm existing in the prior art, the present invention proposes an image defogging processing method, which uses the Retinex algorithm to enhance the overall contour information of the image, and the image processed by the Retinex algorithm Carry out wavelet transform, by increasing the high-frequency component information, and finally obtain a clear image with fog removed
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Embodiment approach 1
[0045] The flow chart of Embodiment 1 is as follows figure 1 shown, including the following steps:
[0046] Step S10, image acquisition;
[0047] Step S20, global image enhancement;
[0048] Step S30, image detail adjustment.
Embodiment approach 2
[0050] The flow chart of the second embodiment is as follows figure 2 shown, including the following steps:
[0051] Step S10, image acquisition;
[0052] Step S20, global image enhancement;
[0053] Step S30, image detail adjustment;
[0054] Step S40, image integration.
[0055] The image detail adjustment step S30 of Embodiments 1 and 2 also includes the following steps:
[0056] Step S300, obtaining image R (or I);
[0057] Step S310, using wavelet transform to image R (or I) for hierarchical processing;
[0058] The wavelet transform algorithm is used to filter the image twice in the horizontal and vertical directions with a high-pass filter and a low-pass filter on different scales, and the obtained decomposition results are: approximate component A, horizontal detail component H , the vertical detail component V and the diagonal detail component D. The number of filters in the wavelet transform algorithm can be adjusted as needed.
[0059] Step S320, adjusting ...
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Abstract
The invention relates to an image defogging method. To solve the problems that city streetscape/traffic monitoring images shot in foggy days are not clear, target objects such as vehicles and pedestrians in the images are not easy to recognize and the like, foggy-day images are integrally enhanced, and then high-frequency information of the images is extracted to strengthen details to finally acquire clear defogged images. The method includes collecting the foggy-day images, performing overall image enhancement on the foggy-day images by the Retinex algorithm, adjusting the details of the images and integrating the images. Tests prove that defogging effect of the Retinex<+> wavelet transform method is better than that of the Retinex algorithm and the Dark Channel algorithm. According to the image defogging method, auxiliary information such as depth information is not needed, and complex methods such as 3D (three-dimensional) modeling are not needed, so that defogging can be realized simply and quickly, and good real-time performance is realized.
Description
technical field [0001] The invention belongs to the technical field of digital image processing. In view of the low clarity of urban street view / traffic monitoring images taken in foggy weather, and the difficulty of identifying targets such as vehicles and pedestrians in the image, the overall enhancement of the foggy image is carried out first, and then the high-frequency information of the image is extracted to enhance the image quality. The detailed approach results in a final dehazed sharp image. Background technique [0002] In recent years, "smog" has become the keyword of the year. For example, in 2013, in January of this year, 4 times of smog covered 30 provinces (autonomous regions, municipalities), and in Beijing, only 5 days were not smog days. Haze will reduce the visibility of the atmosphere, degrade the scene image, blur the content of the image taken in the fog, and reduce the contrast, which will seriously affect the clarity of the collected outdoor image ...
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