DocumentCode :
2282788
Title :
Adaptive truncated Vector Median Filter
Author :
Smolka, Bogdan
Author_Institution :
Dept. of Autom. Control, Silesian Univ. of Technol., Gliwice, Poland
Volume :
4
fYear :
2011
fDate :
10-12 June 2011
Firstpage :
261
Lastpage :
266
Abstract :
In the paper an effective noise reducing and edge enhancing filter for color image enhancement is presented. The proposed denoising technique is based on the concept of adaptively truncated vector median and its output is the color pixel which is centrally located in a cluster of most similar pixels belonging to the sliding filtering window. The important feature of the proposed deign is its ability to reduce impulsive noise, while sharpening the edges of objects depicted in the image. Therefore, the proposed filtering framework can be used in variety of applications in which simultaneous noise reduction and edge enhancement is required.
Keywords :
adaptive filters; image colour analysis; image denoising; image enhancement; impulse noise; median filters; adaptive truncated vector median filter; color image enhancement; color pixel; edge enhancing filter; edge sharpening; image denoising; impulsive noise; noise reducing filter; sliding filtering window; Color; Image color analysis; Image edge detection; Noise measurement; PSNR; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
Type :
conf
DOI :
10.1109/CSAE.2011.5952847
Filename :
5952847
Link To Document :
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