This course aims to enable graduate students to learnand master commonly used statistical and mathematical methods in imageprocessing, including Fourier transform, convex optimization, Bayesianestimation, machine learning, etc., so that they can apply these mathematicalmethods to solve practical image processing problems and have the ability toconduct related research. The basic goal is to teach students to master variousstatistical and mathematical methods in image processing, cultivate students'statistical thinking and mathematical analysis ability, and lay a goodfoundation for subsequent research on image applications.