An Image Enhancement Algorithm Based on ca-spcnn

An image enhancement and algorithm technology, applied in the field of image processing, can solve the problems of many PCNN setting parameters, unclear relationship between model parameters and image processing mechanism, and large amount of calculation, so as to improve the simplicity of the algorithm and simplify the calculation formula and operation process. , low-complexity effects

Active Publication Date: 2022-05-27
LANZHOU JIAOTONG UNIV
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Problems solved by technology

[0007] The theory of PCNN is still immature, and the relationship between its model parameters and image processing mechanism is unclear. There are many parameters in PCNN, and the amount of calculation is large. It is necessary to simplify the parameters to reduce the computational complexity.

Method used

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  • An Image Enhancement Algorithm Based on ca-spcnn
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  • An Image Enhancement Algorithm Based on ca-spcnn

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Embodiment Construction

[0058] The technical solution of the present patent will be described in further detail below in conjunction with specific embodiments.

[0059] Embodiments of the present patent are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present patent, but should not be construed as a limitation on the present patent.

[0060] see figure 1 , this embodiment provides an image enhancement algorithm based on CA-SPCNN, and the steps are as follows:

[0061] Step 1: Use the normalized image processing method to re-determine the external input stimuli of the CA-SPCNN model by adjusting the pixel values ​​of the original image to obtain a normalized color image S ij(norm) ;

[006...

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Abstract

The invention provides an image enhancement algorithm based on CA-SPCNN, which belongs to the technical field of image processing and is used to solve the technical problems of the existing image enhancement algorithm with large calculation amount and complicated calculation process. The present invention divides the original image into normalized images of three channels of red, green and blue by performing normalized image processing on the original image, extracts the maximum value of the three channels of each pixel, and combines all pixels into A matrix to form the maximum intensity image, realize the image through the CA-SPCNN algorithm, and then obtain the numerically transformed image, and integrate the obtained normalized image with the numerically transformed image to obtain the final enhanced image. The algorithm proposed by the present invention is based on the SPCNN algorithm, through the combination of the CA-SPCNN algorithm and other algorithms and improvement to achieve low-brightness color image enhancement, the algorithm has low computational complexity, small amount of calculation, process convergence, and high accuracy. high.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image enhancement algorithm, in particular to an image enhancement algorithm based on CA-SPCNN. Background technique [0002] Image enhancement plays a key role in improving the visual quality of color images. Due to the influence of imaging equipment, imaging lighting conditions and other factors, color images usually have problems such as low brightness and inconspicuous local detail information, which is not conducive to human visual recognition or automatic machine recognition. In practical applications, image enhancement techniques are usually used to improve the visual effect of color images. [0003] The core of the image enhancement technology upgrade is to optimize the algorithm and improve the computing power. At present, image enhancement algorithms are mainly divided into spatial domain-based algorithms and frequency domain-based algorithms. The former re...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/90
CPCG06T5/007G06T7/90G06T2207/20081G06T2207/20084
Inventor 廉敬杨臻漆云亮孙文灏马义德
Owner LANZHOU JIAOTONG UNIV
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