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.
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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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