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1篇 您的检索式：作者名="Martin S.Andersen"

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		题名	作者	年代	出处	被引量
	1	Total Variation Based Parameter-Free Model for Impulse Noise Removal显示文摘We propose a new two-phase method for reconstruction of blurred im-ages corrupted by impulse noise.In the first phase,we use a noise detector to iden-tify the pixels that are contaminated by noise,and then,in the second phase,we reconstruct the noisy pixels by solving an equality constrained total variation mini-mization problem that preserves the exact values of the noise-free pixels.For images that are only corrupted by impulse noise(i.e.,not blurred)we apply the semismooth Newton’s method to a reduced problem,and if the images are also blurred,we solve the equality constrained reconstruction problem using a first-order primal-dual algo-rithm.The proposed model improves the computational efficiency(in the denoising case)and has the advantage of being regularization parameter-free.Our numerical results suggest that the method is competitive in terms of its restoration capabilities with respect to the other two-phase methods.	Federica Sciacchitano Yiqiu Dong Martin S.Andersen	2017	Numerical Mathematics(Theory,Methods and Applications)2017，10，1：	2

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