关键词: Gibbs分布；全变差；点扩散函数；交替迭代算法；盲去卷积

Abstract: A weighted total variation algorithm was proposed for solving some blind deconvolution problems, and then we got the existence of energy functional minimum and educed corresponding thermal flow. In computer simulations, the algorithm performs well even when we have no more accurate prior knowledge about point spread function and the original true image, besides some other constrains. Experiments show that the proposed algorithm is more effective and performs better than the total variation blind deconvolution method proposed.

Key words: Gibbs distribution, total variation, point spread function, AM algorithm, blind deconvolution