TY - CHAP
T1 - Entropy vector median filter
AU - Lukac, Rastislav
AU - Smolka, Bogdan
AU - Plataniotis, Konstantinos N.
AU - Venetsanopoulos, Anastasios N.
PY - 2003
Y1 - 2003
N2 - In this paper, a new adaptive multichannel filter for the detection and removal of impulsive noise, bit errors and outliers in digital color images is provided. The proposed nonlinear filter takes the advantages of the concept of the local entropy contrast and the robust order-statistics theory. The new entropy based vector median is computationally attractive, robust for a wide range of the impulsive noise corruption and significantly improves the signal-detail preservation capability of the standard vector median filter.
AB - In this paper, a new adaptive multichannel filter for the detection and removal of impulsive noise, bit errors and outliers in digital color images is provided. The proposed nonlinear filter takes the advantages of the concept of the local entropy contrast and the robust order-statistics theory. The new entropy based vector median is computationally attractive, robust for a wide range of the impulsive noise corruption and significantly improves the signal-detail preservation capability of the standard vector median filter.
UR - https://www.scopus.com/pages/publications/33748350654
U2 - 10.1007/978-3-540-44871-6_129
DO - 10.1007/978-3-540-44871-6_129
M3 - Chapter
AN - SCOPUS:33748350654
SN - 3540402179
SN - 9783540402176
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1117
EP - 1125
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Perales, Francisco Jose
A2 - Campilho, Aurelio J. C.
A2 - Perez, Nicolas Perez
A2 - Perez, Nicolas Perez
PB - Springer Verlag
ER -