Impulse noise removal based on L1-TV model parameter adaptive
In a number of areas,such as medical imaging,military target recognition,network security and image processing,due to the serious noise interference and large signal mutation,impulse noise problems exist widely.Ai-ming at the problem of image denoising affected by impulse noise,this paper studies the automatic selection of regulari-zation parameters in the method of removing pulse noise based on Ll-TV model.The primal dual method is used to solve the problem of constraint model.In view of the difficulty in determining regularization parameters in the model,a method of automatically solving regularization parameters is proposed to reduce the number of repeated experiments.The experimental results show that the regularization parameter method proposed in this paper is robust,which can not only remove the impulse noise in the image,but also better retain the edge and detail information of the image.
NETL
NSTL
万方数据
