TY - GEN
T1 - Adaptive truncated Vector Median Filter
AU - Smolka, Bogdan
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/80051863312
U2 - 10.1109/CSAE.2011.5952847
DO - 10.1109/CSAE.2011.5952847
M3 - Conference contribution
AN - SCOPUS:80051863312
SN - 9781424487257
T3 - Proceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
SP - 261
EP - 266
BT - Proceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
T2 - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
Y2 - 10 June 2011 through 12 June 2011
ER -