关键词: 图像恢复, 形态成分, 交替最小化

Abstract: It is important to develop an effective image restoration method which can preserve the small scale image structure such as texture.Since that the natural images always contain various morphological components such as cartoon（piecewise smooth，edge），texture etc，and it is difficult to find a single effective regularization term to constrain the whole image，hence an optimization model is proposed which contains regularization in terms of morphological components.The alternating minimization scheme is adopted to solve the relevant multi-variable optimization problem，and the TwIST algorithm is applied to solve the relevant sub-problem.Compared with the methods of min-TV and min-l1，the proposed method can preserve well the whole visual quality and the small scale image structure such as texture.

Key words: image restoration, morphological components, alternating minimization