Basic Concept (SUMMARY)
1. Read an Input Image
2. Scale the Image by 2 (UP SCALE)
Steps (increase the size of image, using bi-linear interpolation)
3. Rotate the Image by Rotation Matrix
4. Translation in Rows and Colms
5. Apply Inverse Transformation
6. Crop the Image to the Original Image Size
7. Display the Restored Img
引用格式
RFM (2024). Affine Transformation and Inverse Transformation (https://www.mathworks.com/matlabcentral/fileexchange/73889-affine-transformation-and-inverse-transformation), MATLAB Central File Exchange. 检索时间: .
MATLAB 版本兼容性
创建方式
R2019b
兼容任何版本
平台兼容性
Windows macOS Linux类别
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Object Analysis >
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1.0.0 |