This course introduces the theory and methods of modern image processing, including Fourier and wavelet transforms, filtering, enhancement, segmentation, and feature extraction. Students will learn to apply these techniques to real-world problems, evaluate their performance, and understand their strengths and limitations.For more information, see the Module Description section.