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Image processing method based on self-adaptive PLIP model

An image processing and self-adaptive technology, applied in the field of image processing, which can solve the problems of loss of details and uneven brightness of the result image, and achieve the effects of uniform brightness, improved average brightness, and improved accuracy.

Active Publication Date: 2020-06-02
XIDIAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art, and propose an image processing method based on the adaptive PLIP model, which is used to solve the loss of details and uneven brightness of the resulting image in the prior art when natural images are enhanced. The problem

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  • Image processing method based on self-adaptive PLIP model
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  • Image processing method based on self-adaptive PLIP model

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] refer to figure 1 The present invention is further described.

[0038] Step 1, obtain the luminance component map of the image to be processed.

[0039] Input a natural image to be processed, if the image is a color image, convert the image from the red, green and blue RGB color space to the hexagonal pyramid HSV color space, and extract the image from the hexagonal pyramid HSV color space The brightness component of the image is obtained to obtain the brightness component map of the image to be processed, and divide the brightness component map into even blocks.

[0040] The following information entropy formula is used to calculate the information entropy of each image block after block, and the average value of the information entropy of all image blocks in the luminance component map is taken as the information entropy of the luminance component map.

[004...

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Abstract

The invention discloses an image processing method based on a self-adaptive PLIP model. The method comprises the steps of firstly obtaining a brightness component graph of a to-be-processed image, andperforming adaptive PLIP processing and detail processing on the brightness component graph to obtain a detail enhancement graph; inputting the brightness component graph into a guide graph filter toobtain a filter processing graph; performing fusion processing on the detail enhancement graph, the filter processing graph and the brightness component graph by using an exposure fusion method to obtain a fusion graph; and converting the fusion image into a space to obtain a result image. According to the method, noise suppression, detail enhancement, edge preservation and other processing can be performed on the natural image, and the method has the advantages of high detail accuracy and uniform brightness of the processing result image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to an image enhancement method based on an adaptive logarithmic image processing PLIP model (Parameterized Logarithmic Image Processing) in the technical field of natural image processing. The invention can perform noise suppression, detail enhancement, edge preservation and other processing on low-illuminance images. Background technique [0002] Low-light images captured in the fields of remote sensing, military, industry, and medical technology have the problems of rich noise, blurred overall image details, and low average brightness of the image. The PLIP model can solve the problem that the pixel value exceeds the gray value interval caused by traditional operations on the image, but it cannot adaptively calculate the transformation parameters according to the characteristics of different regions of the image, which will lead to the loss of details. Therefore, t...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/20012G06T2207/20221G06T2207/20024G06T2207/20016G06T5/00
Inventor 王俊平张宏杰
Owner XIDIAN UNIV
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