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Image defogging method and method based on image partial content characteristics

A content feature and image technology, applied in the field of computer image processing, can solve problems such as color distortion and noise enhancement, and achieve the effects of fast running speed, small cropping range, and reduction of image noise and color abnormalities

Active Publication Date: 2015-07-22
NUBIA TECHNOLOGY CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The main purpose of the present invention is to propose an image defogging method and device based on image local content characteristics, aiming to solve the problems of noise enhancement and color distortion existing in traditional adaptive histogram equalization methods

Method used

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  • Image defogging method and method based on image partial content characteristics
  • Image defogging method and method based on image partial content characteristics
  • Image defogging method and method based on image partial content characteristics

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Embodiment 2

[0090] In the first embodiment, a good defogging effect is achieved, and more noise will not be generated during the processing, and the color will not be distorted. In the second embodiment, in order to achieve better results, the information entropy E in step 202 i,j The calculation method has been improved, adding the information entropy E i,j Steps for limiting the value of :

[0091] E i , j = E max , if E i , j > E max E ...

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Abstract

The invention discloses an image defogging method and method based on image partial content characteristics. The method comprises the following steps: dividing an initial image into a plurality of small block regions; calculating the image of each small block region to obtain a grey level histogram; calculating an information entropy the image of each small block region; calculating a self-adapted cutting parameter of the image of each small block region; cutting the information entropy the image of each small block region by using the self-adapted cutting parameter; dividing the initial image into a plurality of small block regions again; and carrying out histogram equalization processing on each small block region according to the cut grey level histogram. By the aid of the image defogging method and, the initial image can be effectively defogged; meanwhile, noises are not enhanced in a processing process and the image color is not distorted.

Description

technical field [0001] The invention relates to the technical field of computer image processing, in particular to an image defogging method and device based on local image content features. Background technique [0002] In the case of fog and haze, due to the low visibility of the scene, the characteristics of the target contrast and color are attenuated, so that when taking pictures outdoors, the image quality cannot meet the user's needs, so the image needs to be processed to eliminate the impact of the weather. Therefore, image defogging processing has become the focus of people's research. [0003] There are currently many methods for fog image processing, such as: dark channel method, multi-scale retinal enhancement algorithm with color restoration (MSRCR), adaptive histogram equalization method, etc. Among them, the limited contrast adaptive histogram equalization (CLAHE) algorithm has a fast processing speed, and the processed pictures are bright in color, which is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 李嵩
Owner NUBIA TECHNOLOGY CO LTD
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