Paper
28 December 2000 Novel robust fine-detail preserving filter in image processing
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image filtering

Digital filtering

Nonlinear filtering

Signal to noise ratio

Gaussian filters

Image processing

Sensors

Back to Top