In recent years,sparse coding has been widely used in many applications ranging from image processing to pattern recognition.In this talk,I will introduce some sparse coding based dictionary learning methods in image processing.An alternating numerical scheme for solving the resulting minimization problems will be present and show advantages both in convergence theory and numerical experiments over the K-SVD methods.