Image Restoration

버전 1.0.0 (85.1 KB) 작성자: RFM
Performing Image Restoration - From the Degraded Image with MOTION BLUR and Random Noise.
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다운로드 수: 370
업데이트 날짜: 2020/1/11

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Basic Concept (SUMMARY)
1. Read an Input Image
2. Defining a Blurr Filter
3. Degrade the Image Quality by applying any filtering (eg Gaussian Blur, Motion Blur)
4. Addition of Minimal Random Noise to the degraded Image (using randn)
5. Computing DFT of Degraded Image
Steps (fft2, fftshift, log of absolute value for display)
6. Computing DFT of Filter (size equal to the image)
Steps (increase the size of filter, ifftshift, fft2, fftshift, log of absolute value for display)
7. Applying the REQUISITE METHOD FOR IMAGE RESTORATION
8. Display the Restored Image in Spatial Domain

인용 양식

RFM (2024). Image Restoration (https://www.mathworks.com/matlabcentral/fileexchange/73891-image-restoration), MATLAB Central File Exchange. 검색됨 .

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1.0.0