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Image enhancement algorithm based on wavelet transform and fusing high-frequency and low-frequency information

A technology of wavelet transform and image enhancement, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problem that the evaluation index cannot be optimized at the same time, and achieve the effect of improving the reflected light component, enhancing the overall brightness, and improving the quality

Inactive Publication Date: 2020-08-25
ZHENGZHOU UNIV
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Problems solved by technology

At present, the above methods cannot optimize the evaluation indicators at the same time, so it is necessary to select the most suitable image enhancement algorithm according to specific needs.

Method used

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  • Image enhancement algorithm based on wavelet transform and fusing high-frequency and low-frequency information
  • Image enhancement algorithm based on wavelet transform and fusing high-frequency and low-frequency information
  • Image enhancement algorithm based on wavelet transform and fusing high-frequency and low-frequency information

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Embodiment Construction

[0034] The present invention will be described in further detail below in conjunction with accompanying drawing and specific embodiment:

[0035] The simulation verification experiment of the present invention is carried out based on the MATLAB software platform, so the following operations are realized based on the MATLAB software programming.

[0036] Such as Figure 6 As shown, the wavelet transform-based image enhancement algorithm for fusing high and low frequency information includes the following steps:

[0037] Step S1: Load the color image into MATLAB and convert it into a grayscale image. Decompose the image with 2-layer wavelet to obtain the low-frequency component and high-frequency component of the image, and use the wavedec2 function in the MATLAB wavelet toolbox to decompose the image. The calling format is [c,s]=wavedec2(X, N,' sym4'), where X represents the original image signal, N represents the N-layer decomposition of the signal, sym4 is a generative func...

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Abstract

The invention discloses an image enhancement algorithm based on wavelet transform and fusing high and low frequency information. The image enhancement algorithm is mainly used for solving the problemof uneven illumination in the fields of medicine, photography and security and protection, comprehensively utilizes an image enhancement method and sequentially comprises the following steps: S1, inputting a color picture into a computer, converting the color picture into a grey-scale map, carrying out two-layer wavelet decomposition of a two-dimensional signal on the grey-scale picture, and converting the image into a frequency domain from a spatial domain; s2, extracting a low-frequency component of the image, and improving high-frequency response in the low-frequency component by adopting homomorphic filtering; s3, converting the filtered low-frequency image into a spatial domain for gray scale conversion to enhance the contrast and brightness of the image; and S4, reconstructing an image according to the enhanced low-frequency component and high-frequency component coefficients, performing wavelet transform-based threshold denoising on the reconstructed image, and finally obtainingan enhanced image. By means of the technical scheme, the low-frequency information, namely the overall brightness of the image, of the image is effectively enhanced, and meanwhile noise interferencein the high-frequency information is restrained.

Description

technical field [0001] The present invention designs an image enhancement algorithm based on wavelet transform that fuses high and low frequency information, specifically designs an image enhancement algorithm based on wavelet transform that fuses threshold value denoising, homomorphic filtering and grayscale transformation. Background technique [0002] In the field of digital image processing, image enhancement technology is an important means to improve the visual effect of images for specific scenes. Image enhancement can be based on the specific characteristics of the image and the problems that affect the visual perception, so as to take measures to enhance certain characteristics and quality of the image for specific application purposes. The main problems to be solved in image enhancement include: 1. Improving the overall and local contrast of the image; 2. Avoiding noise interference while enhancing the image; 3. Enhancing the visual effect of graphics. Since the i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/40
CPCG06T5/40G06T2207/20064G06T5/90G06T5/70
Inventor 王雅萍宋佩伦雷栋
Owner ZHENGZHOU UNIV
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