Low-contrast image enhancement method based on YCrCb

An image enhancement and low-contrast technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of image blur and low contrast, and achieve the effect of improving the overall dark, simple principle and improving effect

Active Publication Date: 2018-06-05
BEIHANG UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0006] The problem solved by the technology of the present invention is: to overcome the deficiencies of the prior art, aiming at the problems of blurred images and low contrast under different scene conditions, provide a low-contrast image enhancement method based on YCrCb, improve the clarity and contrast of the image, and highlight the details of the image Edges to improve image visuals

Method used

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  • Low-contrast image enhancement method based on YCrCb
  • Low-contrast image enhancement method based on YCrCb
  • Low-contrast image enhancement method based on YCrCb

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Embodiment Construction

[0047] like figure 1 Shown, the specific implementation steps of the present invention are as follows (below taking the aircraft pod TV electronic image as an example to illustrate the specific implementation of the method):

[0048]1. For the original image acquired in a scene with a contrast ratio lower than 60:1, use a trapezoidal low-pass filter to perform image denoising processing to obtain a denoised image. The mathematical form of the low-pass filter and the mathematical form of the ladder low-pass filter are as follows:

[0049] G(u,v)=H(u,v)F(u,v)

[0050]

[0051] Among them, u represents the frequency in the frequency domain, v represents the amplitude of the frequency, F(u, v) is the Fourier transform of the noisy image, G(u, v) is the Fourier transform of the smoothed image, H (u,v) is the transfer function, D(u,v) represents the distance from the origin of the frequency plane to (u,v) point, D 0 and D 1 are the cutoff frequencies of the filters to be set,...

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Abstract

The invention relates to a low-contrast image enhancement method based on YCrCb. The low-contrast image enhancement method comprises the following steps: (1) performing image de-noising on an obtainedoriginal image by utilizing a trapezoidal low-pass filter; (2) performing conversion between a RGB color space and a YCrCb color space on the de-noised image to obtain an image brightness component;(3) performing piecewise linear transformation on a brightness component image by adopting a traditional spatial domain linear transformation method; (4) performing Gamma correction on the transformedimage; (5) performing Gaussian filtering on the corrected image by utilizing a single-scale Retinex algorithm and estimating illumination component and reflection component images; (6) performing image sharpening by utilizing a Gaussian sharpening algorithm aiming at the reflection component image; and (7) performing conversion between the YCrCb color space and the RGB color space on the sharpened image.

Description

technical field [0001] The invention relates to a low-contrast image enhancement method based on YCrCb. YCrCb is a coding method for color image transmission. Y represents brightness, and Cr and Cb represent chromaticity. It is suitable for foggy days or when atmospheric visibility is low. Provide clear, high-contrast real-time images for systems such as traffic monitoring and aircraft targeting. Background technique [0002] With the continuous development of science and technology, the application of images has penetrated into various fields of human production and life. In order to meet the specific needs of humans for images in different scenarios, it is necessary to perform corresponding image processing on the acquired original images. In image processing algorithms, image enhancement has always been a research hotspot. Generally speaking, due to the difference in dynamic range and light intensity under different scene conditions, and the difference in image acquisiti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T5/003G06T5/008G06T5/009G06T2207/20024G06T2207/20192
Inventor 张弘李岩杨一帆
Owner BEIHANG UNIV
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