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Strong-applicability image enhancement method based on power spectrum analysis

A power spectrum analysis and image enhancement technology, applied in the field of image enhancement, can solve problems such as unclearness, enhanced image effect, blurred useful information, etc., and achieves the effect of good effect, wide applicability and fast speed.

Active Publication Date: 2014-01-08
SICHUAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method includes the establishment of a mathematical model of the image power spectrum, the analysis of the model, the derivation of the characteristics of the real image, and the statistical proof of the characteristics; to solve the problem of fuzzy or unclear useful information in the process of obtaining the image, to achieve The purpose of image enhancement

Method used

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  • Strong-applicability image enhancement method based on power spectrum analysis
  • Strong-applicability image enhancement method based on power spectrum analysis
  • Strong-applicability image enhancement method based on power spectrum analysis

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Experimental program
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Embodiment 1

[0094] figure 1 is a schematic diagram of the entire algorithm flow, where a color image with a small degree of defocus blur is used as figure 2 The example in figure (a) illustrates the entire processing process. The image processed at this time is a square image. The specific operation steps are as follows:

[0095] The first step: use MATLAB software to read in the fuzzy digital image to be enhanced in the computer, such as figure 2 In the figure (a), the green component of its RGB three components is taken out, and after the green component is taken out, it becomes a two-dimensional matrix. If the green component is displayed in the form of a 256 grayscale image, it is visually a grayscale image. Here, the color RGB image is processed. If it is a grayscale image, the grayscale image can be processed as the green component of the color image;

[0096] Step 2: Discrete Fourier transform (FFT) is performed on the green component of the fuzzy image and then the power spect...

Embodiment 2

[0115] Here a 512x300 non-square color digital image image 3 Shown in (a), adopt processing method of the present invention to process:

[0116] The first step: use MATLAB software to read in the fuzzy digital image to be enhanced in the computer, such as image 3 In (a) figure, take out the green component of its RGB three components;

[0117] Step 2: Discrete Fourier Transform (FFT) is performed on the green component of the fuzzy image and the power spectrum of the image is solved. Specifically, the FFT transformation is performed on it first, and then the power spectrum is solved;

[0118] The third step: solve the average power spectrum curve of the green component of the image, the specific way is to use the formula (3) to solve the power spectrum matrix solved in the second step

[0119] The fourth step: pass the function z=Ar to the average power spectrum curve of the fuzzy image -β Fit the overall data; the specific fitting method is the function of the variable...

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Abstract

The invention relates to a strong-applicability image enhancement method based on power spectrum analysis, and belongs to the field of image enhancement. The method comprises the steps of establishing a power spectrum mathematical model of an image, analyzing the model, deducting characteristics of a real image, and carrying out statistical confirmation on the characteristics. In the method, through solving and analyzing an average power spectrum curve of a blurred image and a clear image, the power loss phenomenon of the blurred image is found; the clear image irrelevant to the blurred image is taken as a reference image, the reference image and the blurred image have the same dimensions, the reference image has abundant details or has a clear image taken from the scene same as that of the blurred source image; image enhancement treatment is carried out on the blurred image; the average power spectrum curve of the two selected images are firstly solved, then segmented data fitting is carried out through the curve, and then frequency spectrum adjustment parameters are figured out according to the difference between the fitted data of the two images, and finally the purpose of image enhancement is achieved through the frequency spectrum adjustment on the blurred image.

Description

technical field [0001] The invention relates to an image processing technology, in particular to a method for enhancing a power spectrum lossy blurred image with strong applicability, and belongs to the field of image enhancement. Background technique [0002] During image acquisition, defocus, motion, inaccurate parameter setting, weather, etc. are all reasons for image blur. The purpose of image enhancement is to improve the details of the image so that we can get more useful information from the image. When the hardware conditions of image acquisition have been determined, software post-processing is an effective method to enhance images. Although there are many existing image enhancement methods, most of them are aimed at pure image blur, such as motion blur or defocus blur. Considering their speed and applicability, not many can be widely used. [0003] Image enhancement is a research topic with a long history. Image blurring can be viewed as a degradation process wi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/00
Inventor 何小海梁子飞吴媛媛滕奇志吴炜
Owner SICHUAN UNIV