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Volume 44 Number 6 Volume 45 Number 1

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Research articles

ScienceAsia 45(2019): 92-97 |doi: 10.2306/scienceasia1513-1874.2019.45.092


An iterative method for impulse noise removal


Xuesha Wua,*, Yun Jib

 
ABSTRACT:     Based on the conjugate gradient method, we propose a modified iterative method (MCG) for impulse noise removal based on the famous two-phase scheme. The noise candidates are firstly identified by the adaptive median filter, and then the MCG method recovers these noise candidates by minimizing an edge-preserving regularization function. A nice property of the MCG method is that the global convergence can be established without assuming that the objective function satisfies strong convexity under the Armijo-type line search. Numerical experiments show that the MCG method is effective to remove the impulse noise.

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a School of Liberal and International Education, Chongqing College of Electronic Engineering, Chongqing 401331 China
b School of Electronics and Internet of Things, Chongqing College of Electronic Engineering, Chongqing 401331 China

* Corresponding author, E-mail: wuxuesha2013@126.com

Received 31 Oct 2018, Accepted 16 Mar 2019