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Method for improving image definition in foggy days based on imaging model

An image definition and imaging model technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as image distortion and information loss, and achieve the effects of improving contrast, improving real-time performance, and improving clarity

Inactive Publication Date: 2013-12-11
ZHONGBEI UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

This method has a wide range of applications, and can effectively improve the contrast of foggy images, highlight the texture details of the image, and obtain better image quality, but it may cause information loss in the highlighted part and cause distortion in the processed image.

Method used

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  • Method for improving image definition in foggy days based on imaging model
  • Method for improving image definition in foggy days based on imaging model
  • Method for improving image definition in foggy days based on imaging model

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Embodiment Construction

[0018] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0019] The method for improving image definition in foggy weather based on an imaging model of the present invention is realized by a scene imaging system, which includes various cameras, an image transmission system, a regional server, a monitoring center computer and image clearing software. Each of the above-mentioned cameras collects on-site images in the area where they are located, and transmits them to the regional server through the image transmission system, and the regional server transmits the images to the monitoring center computer, and displays them in the monitoring center after being processed by the image clarity software installed on the monitoring center computer on the computer screen. Image clearing software is used to process the image, and a clear image is finally obtained.

[0020] In the present invention, the image captured u...

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Abstract

The invention discloses a method for improving image definition in foggy days based on an imaging model. The method for improving the image definition in foggy days based on the imaging model includes the following steps that firstly, an RGB image of original misty days is converted into a YUV color space and three-grade wavelet decomposition is carried out on the luminance Y component; a misty day imaging model is combined on a low-frequency sub-band of a wavelet zone, Gaussian Blur is used for estimating and removing scattered light of media, attenuation factors are adjusted with a method based on local complexity and self-adaption enhancement is performed on an attenuation low-frequency sub-image; a non-linear conversion enhancement method is utilized on a high-frequency sub-band to further enhance high-frequency information; finally, a sharpened colored image is obtained through wavelet inverse conversion and conversion of the color space. According to the method for improving the image definition in foggy days based on the imaging model, the problem of blurring caused by atmospheric scattering can be rapidly and effectively solved, the definition and the contrast ratio of the foggy day image are effectively improved and high real-time performance is achieved.

Description

technical field [0001] The invention belongs to the technical field of computer image processing, and in particular relates to a method for improving the clarity of foggy images based on an imaging model. Background technique [0002] The contrast and resolution of the image of the observed scene captured by the camera in the foggy environment are significantly reduced. The main reason for the cloudy image of the observed scene in the foggy environment and the reduction of details is that the light is affected by the atmosphere during the propagation process from the scene to the camera. Due to the influence of more suspended particles, light intensity attenuation (light is absorbed) and scattering occur, so that the light reaching the camera is reduced and confused. These effects are related to the size and number of suspended particles. The larger and more suspended particles, the more serious the impact on the light reaching the camera. Scattering is the main cause of im...

Claims

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Application Information

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IPC IPC(8): G06T5/00H04N7/18
Inventor 贾建芳李众郭相凤
Owner ZHONGBEI UNIV
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