Low-illumination image/video enhancement method based on self-adaptive multiple-dimensioned filtering

A video enhancement and low-illumination technology, applied in the field of image processing, can solve problems such as general visual effects, inability to adjust brightness, and high complexity of low-illumination enhancement algorithms

Active Publication Date: 2014-10-22
WUHAN HONGRUIDA INFORMATION TECH CO LTD
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Problems solved by technology

The low-illuminance enhancement methods of these domestic and foreign researchers have improved the quality of the enhanced image, but these methods have disadvantages such as high complexity of the low-illuminance enhancement algorithm, general visual effects, and inability to adaptively adjust the brightness according to the scene.

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  • Low-illumination image/video enhancement method based on self-adaptive multiple-dimensioned filtering
  • Low-illumination image/video enhancement method based on self-adaptive multiple-dimensioned filtering
  • Low-illumination image/video enhancement method based on self-adaptive multiple-dimensioned filtering

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Embodiment Construction

[0037] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0038] according to figure 1 , figure 2 , image 3 Shown:

[0039] First define the following variables to facilitate the description of the algorithm:

[0040] image to be processed figure 2 For example, the variable imagesize=Height*Widthian=600×400=120000.

[0041] See Table 1 for selection figure 2 Among them, 8 pixel RGB component values ​​are used as the data of the embodiment, and table 2 is 8 pixel RGB component values ​​of the processed image, and the pixel position is ...

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Abstract

The invention provides a low-illumination image/video enhancement method based on self-adaptive multiple-dimensioned filtering. Based on an atmosphere light scattering model, self-adaptive filtering based on an area characteristic, and a self-adaptive brightness restoration theory, the self-adaptive multiple-dimensioned filtering theory and method brought forward by the invention in the field of low-illumination video and image enhancement can enable the brightness of a processed image to be improved and improves image or video contrast and sharpness at the same time, a typical mean value filter is employed, and the calculation complexity is low; and internal parameters are adaptively calculated, the adaptation scope is quite wide, the method can be applied to a color image or a gray scale image, and the versatility is good.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an adaptive mean value filter based on region attributes and an image processing method for adaptive image brightness restoration that can be used for adaptive low-illuminance enhancement of a single image or continuous video. Background technique [0002] With the development of information technology, video technology has been popularized and applied in a large area, but when the illumination of the image / video capture scene is too low, the brightness and clarity of the video picture will decrease sharply. The intensity range is relatively narrow, the correlation between adjacent pixels is high, and the change of gray value is not obvious, so that the useful information and useless noise in the image are contained in a very narrow gray range. It makes it impossible for people to normally observe the video under low illumination. In order to improve the vide...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 戴声奎
Owner WUHAN HONGRUIDA INFORMATION TECH CO LTD
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