TY - JOUR
T1 - Real-time color image processing using order statistics filters
AU - Ponomaryov, Volodymyr
AU - Gallegos-Funes, Francisco
AU - Rosales-Silva, Alberto
N1 - Funding Information:
This work is supported by National Polytechnic Institute and CONACyT of Mexico (project 42790).
PY - 2005/11
Y1 - 2005/11
N2 - The Vector Rank M-type K-Nearest Neighbour (VRMKNN) filter to remove impulsive noise from color images and video color sequences is presented. This filter utilizes multichannel image processing by using the vector approach and the Rank M-Type K-Nearest Neighbour (RMKNN) algorithm. Simulation results indicate that the proposed filter consistently outperforms other color image filters by balancing the tradeoff between noise suppression and detail preservation. The implementation of the filter was realized on the DSP TMS320C6711 to demonstrate that the proposed filter potentially could provide a real-time solution to quality video transmission.
AB - The Vector Rank M-type K-Nearest Neighbour (VRMKNN) filter to remove impulsive noise from color images and video color sequences is presented. This filter utilizes multichannel image processing by using the vector approach and the Rank M-Type K-Nearest Neighbour (RMKNN) algorithm. Simulation results indicate that the proposed filter consistently outperforms other color image filters by balancing the tradeoff between noise suppression and detail preservation. The implementation of the filter was realized on the DSP TMS320C6711 to demonstrate that the proposed filter potentially could provide a real-time solution to quality video transmission.
KW - Image restoration
KW - Order statistics filters
KW - Real-time imaging
UR - http://www.scopus.com/inward/record.url?scp=24944479997&partnerID=8YFLogxK
U2 - 10.1007/s10851-005-2025-8
DO - 10.1007/s10851-005-2025-8
M3 - Artículo
SN - 0924-9907
VL - 23
SP - 315
EP - 319
JO - Journal of Mathematical Imaging and Vision
JF - Journal of Mathematical Imaging and Vision
IS - 3
ER -