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Human visual perception simulation-based self-adaptive low-illumination image enhancement method

An image enhancement and human vision technology, applied in the field of image processing, to achieve the effect of obvious enhancement and wide practicability

Active Publication Date: 2015-11-11
SOUTHWEAT UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method needs to keep the photographic equipment stable when shooting, takes a long time to shoot, cannot be applied to the field of real-time image and video enhancement, and has poor effect on images with very low brightness

Method used

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  • Human visual perception simulation-based self-adaptive low-illumination image enhancement method
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  • Human visual perception simulation-based self-adaptive low-illumination image enhancement method

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Embodiment Construction

[0023] In order to better understand the present invention, the adaptive low-light image enhancement method simulating human visual perception of the present invention will be described in more detail below in conjunction with specific embodiments. In the following description, detailed descriptions of currently existing prior art may obscure the subject matter of the present invention, and these descriptions will be ignored here.

[0024] figure 1 It is a flow chart of a specific embodiment of an adaptive low-light image enhancement method that simulates human visual perception in the present invention. In this embodiment, the following steps are followed:

[0025] Step 1, Image Acquisition: Capture a low-light image through an imaging device I ,Such as figure 2 shown;

[0026] Step 2, find the brightness component V : Convert the image obtained in step 1 to the HSV color space, calculate the maximum value of the RGB component for each pixel, and obtain the brightness c...

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Abstract

The invention provides a human visual perception simulation-based self-adaptive low-illumination image enhancement method. The method is put forwards based on characteristics of low brightness and low contrast of a low-illumination color image and through researching an automatic adjustment process of pupils and photoreceptor cells for an environment. The method includes the following steps that: the adjustment process of the pupils for light is simulated, and the total brightness level of the image is improved; and the self-adaptive adjustment and control ability of eye vision for a low-illumination environment is simulated, and a nonlinear mapping model is designed to simulate the adjustment process of rod cells and cone cells, so that a bright and dark self-adaptation function can be obtained, and a bright and dark information fusing function is determined according to illumination distribution, and global self-adaptive adjustment is performed on brightness components; and the local contrast of the enhanced brightness image will be decreased, so that local self-adaptive contrast enforcement is performed on the image through adopting an exponential function; and finally, and color restoration is performed on the enhanced image. With the human visual perception simulation-based self-adaptive low-illumination image enhancement method of the invention adopted, the brightness, local contrast and detail information of the low-illumination color image can be effectively improved, and especially, the method has obvious effects in dark area and highlight area enhancement.

Description

Technical field: [0001] The invention relates to image processing technology, in particular to an adaptive low-illuminance image enhancement method for simulating human visual perception. technical background: [0002] In the application of image acquisition or video surveillance, low-illumination conditions such as night, backlight, and insufficient exposure are often encountered. Inconvenience. The use of low-illuminance color image enhancement technology can effectively reduce the impact of low-illuminance environments on image or video acquisition devices, thereby effectively improving the performance of video surveillance, image recognition, computer vision and other systems under low-illumination conditions, and solving many working problems. Therefore, it is very necessary to study the enhancement of low-light images. [0003] At present, there are three main categories of low-light image enhancement algorithms: spatial domain method, transform domain method and f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 张红英王小元吴亚东刘言
Owner SOUTHWEAT UNIV OF SCI & TECH
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