Selective adaptive weighted median filter

Lianghai Jin; Caiquan Xiong; Dehua Li

doi:10.1117/1.2891297

1 March 2008 Selective adaptive weighted median filter

Lianghai Jin, Caiquan Xiong, Dehua Li

Author Affiliations +

Optical Engineering, Vol. 47, Issue 3, 037001 (March 2008). https://doi.org/10.1117/1.2891297

Abstract

A new impulsive noise removal algorithm, the selective adaptive weighted median filter (SAWMF), is introduced. The proposed solution is a class of adaptive weighted median filters with incorporation of a switching mechanism. Using a median-based comparison technique to classify each image pixel as an impulse or a noise-free one, the new algorithm employs a weighted median filter where the weights are adaptively selected from two fixed values to restore the detected noisy pixels and keep the noise-free ones unchanged. The experimental results indicate that the SAWMF provides a significant performance improvement over many of the existing filtering techniques in suppressing impulsive noise with different contamination ratios.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Lianghai Jin, Caiquan Xiong, and Dehua Li "Selective adaptive weighted median filter," Optical Engineering 47(3), 037001 (1 March 2008). https://doi.org/10.1117/1.2891297

Published: 1 March 2008

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available