Fuzzy theory based low-light-level imaging method

A fuzzy theory and imaging method technology, applied in the field of image processing, can solve the problems of poor real-time performance, image quality and low detail recognizability

Inactive Publication Date: 2016-12-07
HUNAN VISION SPLEND PHOTOELECTRIC TECH
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Problems solved by technology

[0007] The purpose of the present invention is to provide a low-illuminance imaging method based on fuzzy theory, which solves the problem of poor real-time processing of low-illuminance images in the prior art; low-quality images and low detail recognizability of low-illuminance images after processing question

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  • Fuzzy theory based low-light-level imaging method
  • Fuzzy theory based low-light-level imaging method
  • Fuzzy theory based low-light-level imaging method

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Embodiment Construction

[0047] The accompanying drawings constituting a part of this application are used to provide further understanding of the present invention, and the schematic embodiments and descriptions of the present invention are used to explain the present invention, and do not constitute an improper limitation of the present invention.

[0048] see figure 1 , the low-light imaging method based on fuzzy theory provided by the present invention comprises the following steps:

[0049] Step S100: Image preprocessing: After converting the input low-illuminance RGB image into HSV space, perform logarithmic transformation and enhancement processing on the overall brightness component of the image, and perform spatial inverse transformation to convert the HSV space image back to an RGB image to obtain brightness enhancement image;

[0050] Wherein the RGB image conversion can be carried out by conventional methods.

[0051] Step S100 includes the following steps:

[0052] Step S110: HSV color...

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Abstract

The invention provides a fuzzy theory based low-light-level imaging method. An image color space is converted from an RGB space to an HSV space, color constancy is maintained, and a nonlinear function is used to improve the brightness of a low-light-level image; the image is transformed from a space domain into a fuzzy domain by utilizing a membership function, the image is enhanced in a fuzzy characteristic plane, and the contrast of the image is improved; and a double-side filter of the highest detail maintenance degree is used to carry out final filtering and denoising on the image to be processed, and a final low-light-level image is output. According to the method, the contract of the image is enhanced, more detail information of scenes in the image is reserved, and the low-light-level image enhancing method is highly efficient.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a low-illuminance imaging method based on fuzzy theory. Background technique [0002] Illuminance: refers to the luminous flux of visible light received per unit area, in units of Lux (Lux or Lx). Amount used to indicate the intensity of light and how much the surface area of ​​an object is illuminated. When the illuminance makes the video signal level output by the camera lower to a specified value when the illuminance of the scene is luminance during film and television shooting, it is called low illuminance. Generally, images obtained by professional camera equipment in shooting environments with an illumination lower than 5LX, such as photos obtained at night, are called low-light images. [0003] Under low illumination conditions, due to the low illumination of the scene (weak light signal), the visibility is low, the observed scene signal is very weak, the image ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T5/009
Inventor 谭树人张斯尧马昊辰
Owner HUNAN VISION SPLEND PHOTOELECTRIC TECH
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