TY - GEN
T1 - A decision-tree-based denoising approach for efficient removal of impulse noise
AU - Huang, Chien Chuan
AU - Lien, Chih Yuan
AU - Chen, Pei-Yin
PY - 2010/12/1
Y1 - 2010/12/1
N2 - Images are often corrupted by impulse noise in the procedures of image acquisition and transmission. In this paper, we propose a novel denoising method, which is based on the decision-tree and edge-preserving techniques, for the removal of random-valued impulse noise. Extensive experimental results show that the proposed technique not only preserves the edge features, but also obtains excellent performances in terms of quantitative evaluation and visual quality. Furthermore, the design requires only low computational compleXIty. It is very suitable for real-time embedded systems.
AB - Images are often corrupted by impulse noise in the procedures of image acquisition and transmission. In this paper, we propose a novel denoising method, which is based on the decision-tree and edge-preserving techniques, for the removal of random-valued impulse noise. Extensive experimental results show that the proposed technique not only preserves the edge features, but also obtains excellent performances in terms of quantitative evaluation and visual quality. Furthermore, the design requires only low computational compleXIty. It is very suitable for real-time embedded systems.
UR - http://www.scopus.com/inward/record.url?scp=78651476399&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78651476399&partnerID=8YFLogxK
U2 - 10.1109/ISAC.2010.5670454
DO - 10.1109/ISAC.2010.5670454
M3 - Conference contribution
AN - SCOPUS:78651476399
SN - 9781424483143
T3 - 2010 2nd International Symposium on Aware Computing, ISAC 2010 - Symposium Guide
SP - 74
EP - 79
BT - 2010 2nd International Symposium on Aware Computing, ISAC 2010 - Symposium Guide
T2 - 2010 2nd International Symposium on Aware Computing, ISAC 2010
Y2 - 1 November 2010 through 4 November 2010
ER -