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The Radon transform is a powerful mathematical tool used in image processing and computer vision. It is commonly used to reconstruct images from projections, and can be implemented using MATLAB. Additionally, the ridgelet transform is another mathematical technique that has proven to be useful in image processing applications. It can be applied to detect edges in an image, and can be used to de-noise signals. Both the Radon and ridgelet transforms are important tools to have in your image processing toolbox, and can be particularly useful when working with complex images or signal data.