TY - GEN
T1 - Adaptive edge enhancing technique of impulsive noise removal in color digital images
AU - Smolka, Bogdan
PY - 2011
Y1 - 2011
N2 - In this paper a novel class of noise attenuating and edge enhancing filters for color image processing is introduced and analyzed. The proposed adaptive filter design is minimizing the cumulative dissimilarity measure of a cluster of pixels belonging to a sliding filtering window and outputs the most centrally located pixel. The proposed filter is computationally efficient, easy to implement and very effective in suppressing impulsive noise, while preserving image details and enhancing its edges. Therefore it can be used in any application in which simultaneous denoising and edge enhancement is a prerequisite for further steps of the color image processing pipeline.
AB - In this paper a novel class of noise attenuating and edge enhancing filters for color image processing is introduced and analyzed. The proposed adaptive filter design is minimizing the cumulative dissimilarity measure of a cluster of pixels belonging to a sliding filtering window and outputs the most centrally located pixel. The proposed filter is computationally efficient, easy to implement and very effective in suppressing impulsive noise, while preserving image details and enhancing its edges. Therefore it can be used in any application in which simultaneous denoising and edge enhancement is a prerequisite for further steps of the color image processing pipeline.
KW - color image enhancement
KW - impulsive noise reduction
UR - https://www.scopus.com/pages/publications/79953868918
U2 - 10.1007/978-3-642-20404-3_5
DO - 10.1007/978-3-642-20404-3_5
M3 - Conference contribution
AN - SCOPUS:79953868918
SN - 9783642204036
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 60
EP - 74
BT - Computational Color Imaging - Third International Workshop, CCIW 2011, Proceedings
T2 - 3rd International Workshop on Computational Color Imaging, CCIW 2011
Y2 - 20 April 2011 through 21 April 2011
ER -