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
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