Remote Sensing Image Restoration Based on TV Regularization and Local Constraints

Image restoration algorithms based on total variation theory and pixels intensity local constrains method were introduced.To obtain a better restored effect,a novel hybrid algorithm was presented to estimate the original image from the degraded one.Total variation(TV)regularization term was added into the object function to form the iteration formula.And,local mean and local variance were used to constraint the solution.In numerical experiment,the degraded images were restored using the TV method and the proposed method.The results show that better performance of the proposed approach can be obtained.