Haze image clarity method, system and storage medium
A clearing and image quality technology, applied in the field of haze image clearing methods, systems and storage media, can solve the problems of image information loss, image color distortion, unstable results, etc., to achieve fast processing process, accurate and objective results Effect
Active Publication Date: 2022-02-22
SHENZHEN UNIV
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[0007] The technical problem to be solved by the present invention is to provide a fog and haze image in the prior art for problems such as color distortion and loss of image information that are prone to appear in the image clearing process, or the haze processing process is complicated and the result is unstable. Haze image clarity method, system and storage medium
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[0048] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.
[0049] Such as figure 1 As shown, in the first embodiment of the haze image clearing method of the present invention, the following steps are included:
[0050]S1. Randomly select several first deep network parameters to perform deep learning to remove haze on a haze image to obtain several first haze-removed images, and perform blind image quality evaluation on several first haze-removed images to obtain several first haze-removed images. 1. Image quality rating; Specifically, the haze image is input into the haze removal deep learning network to carry out initial haze removal on the haze image through the deep learning of the haze removal deep learning network. Here, in the initial haze removal process, the The initi...
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The present invention relates to a haze image clearing method, system, and storage medium. The haze image clearing method includes: S1. Randomly selecting first depth network parameters to remove haze from the haze image to obtain a first haze removal image. And obtain the first image quality score; S2. Select the first high-quality deep network parameter according to the first image quality score; S3. Perform a rapid bacterial group tour optimization operation on the first high-quality deep network parameter to obtain several second deep network parameters; S4. Obtain the second dehaze image through the second deep network parameters and obtain the second image quality score; S5, select the second high-quality deep network parameters and judge whether the second high-quality deep network parameters are optimal, and if so, output the second high-quality depth The second haze-removed image corresponding to the network parameters and end this process; if not, define the second high-quality deep network parameters as new first high-quality deep network parameters and execute S3. By implementing the invention, the processing process is fast and the result is accurate and objective.
Description
technical field [0001] The present invention relates to the technical field of image processing, and more specifically, to a method, system and storage medium for clearing haze images. Background technique [0002] In recent years, the smog phenomenon has become more serious. Images taken in smoggy weather, due to the mixture of various inhalable particles and fine particles in the air, have a serious impact on the absorption, refraction and scattering of light, resulting in blurred images, which are inconvenient for human eyes to watch. The visual effect of the image is not good, which not only affects the clarity of the image, but also brings trouble to determine the target. [0003] The quality of the images taken in the haze environment is not good, which greatly increases the difficulty of subsequent image processing. In addition, the existence of smog images will also have a greater impact on road traffic monitoring and satellite remote sensing monitoring. It can be...
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IPC IPC(8): G06T5/00G06T7/00
CPCG06T7/0002G06T2207/30168G06T2207/20081G06T2207/20084G06T5/73
Inventor 储颖游为麟
Owner SHENZHEN UNIV