TY - GEN
T1 - Edge preserving probabilistic smoothing algorithm
AU - Smolka, Bogdan
AU - Wojciechowski, Konrad W.
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1999.
PY - 1999
Y1 - 1999
N2 - In the presented paper a new probabilistic approach to the problem of noise reduction has been presented. It is based on the concept of a virtual particle performing a random walk on the image lattice, with transition probabilities derived from the median distribution. The probabilistic smoothing algorithm combined with a cooling procedure, known from the simulated annealing optimization method, constitutes a new powerful technique of noise suppression, capable of preserving edges and other image features.
AB - In the presented paper a new probabilistic approach to the problem of noise reduction has been presented. It is based on the concept of a virtual particle performing a random walk on the image lattice, with transition probabilities derived from the median distribution. The probabilistic smoothing algorithm combined with a cooling procedure, known from the simulated annealing optimization method, constitutes a new powerful technique of noise suppression, capable of preserving edges and other image features.
UR - https://www.scopus.com/pages/publications/84937040783
U2 - 10.1007/3-540-48375-6_6
DO - 10.1007/3-540-48375-6_6
M3 - Conference contribution
AN - SCOPUS:84937040783
SN - 3540663665
SN - 9783540663669
T3 - Lecture Notes in Computer Science
SP - 41
EP - 48
BT - Computer Analysis of Images and Patterns - 8th International Conference, CAIP 1999, Proceedings
A2 - Solina, Franc
A2 - Leonardis, Aleš
PB - Springer Verlag
T2 - 8th International Conference on Computer Analysis of Images and Patterns, CAIP 1999
Y2 - 1 September 1999 through 3 September 1999
ER -