Image Restoration

版本 1.0.0 (85.1 KB) 作者: RFM
Performing Image Restoration - From the Degraded Image with MOTION BLUR and Random Noise.
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更新时间 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

引用格式

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

MATLAB 版本兼容性
创建方式 R2019b
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版本 已发布 发行说明
1.0.0