Novel robust fine-detail preserving filter in image processing

Volodymyr I. Ponomaryov; Luis Nino de Rivera; Oleksiy B. Pogrebnyak

doi:10.1117/12.411598

28 December 2000 Novel robust fine-detail preserving filter in image processing

Volodymyr I. Ponomaryov, Luis Nino de Rivera, Oleksiy B. Pogrebnyak

Proceedings Volume 4115, Applications of Digital Image Processing XXIII; (2000) https://doi.org/10.1117/12.411598
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

Robust image filter that can provide the preservation of fine details and effective suppression of multiplicative noise is presented. This filter bases on the M (robust maximum likelihood) estimators and R (rank) estimators derived from the statistical theory of rank tests. The filter proposed consists of two stages: at the first stage, to realize the rejection of impulsive noise, we presented the image filter with an adaptive spike detector and M-estimator modified by median estimator to have the ability to remove outliers. The second stage filter, a modified sigma filter, provides the multiplicative noise suppression combined with detail preserving scheme of a Lee filter. Numerical analysis of the simulation results shows that the proposed image filter has good preservation of fine details, effective multiplicative noise suppression and impulsive noise removal for different type of images in the sense of small detail percentage.

Citation Download Citation

Volodymyr I. Ponomaryov, Luis Nino de Rivera, and Oleksiy B. Pogrebnyak "Novel robust fine-detail preserving filter in image processing", Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); https://doi.org/10.1117/12.411598

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