Paper Info
Title
Rm-Filtering Procedures In Image And Video Processing
Abstract
In this paper we present the robust Cascaded RM-filter to remove the mixture of impulsive and multiplicative noise from corrupted images. The designed filter uses combined R- and M- estimators called RM-estimators. The capability of the impulsive noise removal in the image processing applications by using of the RM-KNN (MM-KNN, WM-KNN, ABSTM-KNN or MoodM-KNNN) are presented. The presented Cascaded P-W-filter is the consequential connection of two filters. The first filter uses one of the proposed filters to provide impulsive noise rejection and detail preservation. The second one uses an M-filter to provide multiplicative noise suppression. We investigated various types of influence functions used in the M-estimator of designed filter. Extensive simulation results in reference images have demonstrated that the proposed filters consistently can outperform other nonlinear filters by balancing the tradeoff between noise suppression and detail preservation. The criterions used to compare performance were the PSNR and MAE. Finally, we also present the real-time implementation of proposed filter using DSP TMS320C6701 to demonstrate that it potentially provides a real-time solution to quality TV/video transmission.
Year
DOI
Venue
2003
10.1117/12.503164
VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2003, PTS 1-3
Keywords
Field
DocType
robust image processing, rank-M filters, real imaging, DSP
Noise reduction,Computer vision,Video processing,Digital signal processing,Computer science,Signal-to-noise ratio,Image quality,Filter (signal processing),Image processing,Artificial intelligence,Multiplicative noise
Conference
Volume
ISSN
Citations 
5150
0277-786X
0
PageRank 
References 
Authors
0.34
1
3
Name
Order
Citations
PageRank
Volodymyr I. Ponomaryov112418.38
Francisco J. Gallegos Funes26310.29
Lyubov O. Ponomaryova300.34