Impulsive noise removal with the use of local adaptive nonlinear filter

Mikhail Mozerov; Vitaly Kober

doi:10.1117/12.559292

2 November 2004 Impulsive noise removal with the use of local adaptive nonlinear filter

Mikhail Mozerov, Vitaly Kober

Proceedings Volume 5558, Applications of Digital Image Processing XXVII; (2004) https://doi.org/10.1117/12.559292
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

The goal of many image processing tasks is to recover an ideal high-quality signal from data that are degraded by impulsive noise, because the human visual system is very sensitive to the high amplitude of noise signals, thus noise in an image can result in a subjective loss of information. This work presents an elegant solution to the impulsive noise removal problem. The proposed technique takes into account three important factors for image filtering, i.e. noise attenuation, edge preservation, as well as detail retention. The conventional filtering schemes utilize a fixed shape of the moving window such as rectangle and circle. In contrast, the proposed spatially connected filter works with the moving window of signal-dependent shape. Experimental results show the superior performance of the proposed filtering algorithm compared to the conventional schemes in terms of both subjective and objective evaluations.

Citation Download Citation

Mikhail Mozerov and Vitaly Kober "Impulsive noise removal with the use of local adaptive nonlinear filter", Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); https://doi.org/10.1117/12.559292

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