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Image enhancement method based on contrast and structural similarity

A technology of structural similarity and image enhancement, applied in the field of computer vision, which can solve the problems of low image contrast and loss of details.

Active Publication Date: 2015-11-04
CAPITAL NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an image enhancement method based on contrast and structural similarity, which aims to solve the problems of low image contrast and loss of details in foggy weather and other bad weather, so as to effectively improve the visibility of restored scene images
[0006] The present invention is achieved in this way, an image enhancement method based on contrast and structural similarity, to solve the problems of low image contrast and loss of details under foggy weather and other bad weather, including the following steps:

Method used

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  • Image enhancement method based on contrast and structural similarity
  • Image enhancement method based on contrast and structural similarity
  • Image enhancement method based on contrast and structural similarity

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Embodiment Construction

[0048] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] This embodiment uses Matlab2009b to develop the simulation program, and the host computer is configured as 2.83GHz Inter Core2 Quad CPU, 4GB internal memory, and Windows 7 operating system. right figure 2 (actually a color image) The image with a pixel size of 327*1000 shown in the image is enhanced, and the specific steps are as follows figure 1 shown.

[0050] Step S1, such as figure 2 As shown, input the original single foggy image, denoted as I p .

[0051] Step S2, performing minimum image filtering on the original image such as image 3 shown, denoted as I min (p), and then qu...

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Abstract

The invention discloses an image enhancement method based on contrast and structural similarity. The method comprises steps: an original single haze image is inputted; robust estimation on atmospheric light is realized through iterative quadtree segmentation; content-based superpixel segmentation technology is adopted for segmenting the image into local area blocks; a cost function is built, an atmospheric propagation chart of each local area block is estimated, and the optimal transmission parameter for each block is obtained; and an atmospheric degradation model is used for image restoration. The de-haze method provided by the invention can effectively improve visibility of a recovery scene image, has the advantages of fast operation speed and good image recovery effects, and can be applied to a system with high real-time performance requirements.

Description

technical field [0001] The invention belongs to the field of computer vision, specifically an image enhancement method based on contrast and structural similarity, which is used for improving the clarity and visibility of foggy images in the field of computer vision. Background technique [0002] There are various random particles in the outdoor atmosphere, such as: fog, haze, sand and dust, etc. These random atmospheric particles have an effect on the propagation of light in the atmosphere that increases with the object's distance from the imaging device. Usually this effect is mainly manifested in two aspects: 1) the attenuation of the reflected light on the surface of the object due to the scattering and absorption of atmospheric particles when it reaches the imaging device; 2) the natural light enters the imaging device due to the scattering of atmospheric particles the imaging process. These two effects work together to cause problems such as loss of image contrast, d...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 尚媛园周修庄丁辉付小雁张伟功赵晓旭胡茵萌栾中宋洪超侯雪峰
Owner CAPITAL NORMAL UNIVERSITY
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