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Color Image Contrast Enhancement Algorithm Based on Adaptive Wavelet Domain Processing

A color image and enhancement algorithm technology, applied in the field of image processing, can solve the problems of complex noise amplification calculation, poor image enhancement effect, and insufficient adaptability, and achieve the effect of simple algorithm, maintaining scene texture details, and automatic contrast enhancement

Active Publication Date: 2018-11-20
HARBIN INST OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to propose a color image contrast enhancement algorithm based on adaptive wavelet domain processing for the problems of poor image enhancement effect, insufficient adaptability, prone to noise amplification and complex calculations in the existing color image contrast enhancement algorithm. , which is suitable for adaptively enhancing the contrast of color images, making the image clearer and brighter, and can effectively suppress noise amplification and enhance the visual effect of the image

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  • Color Image Contrast Enhancement Algorithm Based on Adaptive Wavelet Domain Processing
  • Color Image Contrast Enhancement Algorithm Based on Adaptive Wavelet Domain Processing
  • Color Image Contrast Enhancement Algorithm Based on Adaptive Wavelet Domain Processing

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[0058] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings, but it is not limited thereto. Any modification or equivalent replacement of the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention should be covered by the present invention. within the scope of protection.

[0059] The invention provides a color image contrast enhancement algorithm based on adaptive wavelet domain processing, which is used for color image contrast enhancement and improves visual effect. Taking an RGB image as an example, such as figure 1 As shown, its specific implementation steps are as follows:

[0060] Step 1. The three channels of the RGB color image are respectively subjected to wavelet decomposition:

[0061]First adjust the dynamic range of the color image to the [0,1] interval:

[0062]

[0063] In the formula, Im in is the c...

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Abstract

The invention discloses a color image contrast enhancement algorithm based on self-adaptive wavelet domain processing. The color image contrast enhancement algorithm comprises the following steps that step 1, wavelet decomposition is performed on color image RGB three layer data; step 2, nonlinear transformation is performed according to the distribution characteristic of the RGB three-channel low-frequency wavelet coefficient so that self-adaptive contrast enhancement is realized; step 3, a Gaussian threshold filtering function is constructed to perform noise reduction according to different scale, direction and noise characteristics of the RGB three-channel high-frequency wavelet coefficient so that noise and pseudo image suppression can be realized; and step 4, inverse wavelet transformation is performed and an RGB image is reconstructed. The color image contrast enhancement algorithm is suitable for color image contrast enhancement so that the image is enabled to be clearer and the hue is more distinct. Meanwhile, noise amplification is suppressed and the signal-to-noise ratio is enhanced so that the visual effect of the image can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a color image contrast enhancement algorithm based on adaptive wavelet domain processing. Background technique [0002] Due to the influence of lighting, weather and other imaging conditions and optical sensor degradation factors, the actual image may have problems such as decreased contrast, narrow dynamic range, insufficient effective quantification, and weak resolution of local details of the target, which will affect the perception of human eyes. The ability to finely interpret and interpret targets or to recognize them automatically. In practical applications, image contrast enhancement technology is usually used to solve the above problems, and has been widely used in medical image diagnosis, video surveillance, fault detection, computer vision, optical remote sensing image enhancement and target recognition and other fields. [0003] The current grayscale image con...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T2207/10024G06T2207/20064
Inventor 智喜洋江世凯张伟胡建明孙晅傅斌
Owner HARBIN INST OF TECH
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