TY - GEN
T1 - Fuzzy-Bayesian approach to image expansion
AU - Sakalli, Mustafa
AU - Yan, Hong
AU - Fu, Alan M N
PY - 1999
Y1 - 1999
N2 - A fuzzy edge preserving interpolation method was used on digital images to reduce the effect of jaggedness and blurring artifacts along the high contrast edges. The images were segmented into non-active regions and the directionally active regions. A fuzzy non-linear contrast intensification of active regions was then performed using directional features. Using a combination of these two methods, a high subjective performance was achieved.
AB - A fuzzy edge preserving interpolation method was used on digital images to reduce the effect of jaggedness and blurring artifacts along the high contrast edges. The images were segmented into non-active regions and the directionally active regions. A fuzzy non-linear contrast intensification of active regions was then performed using directional features. Using a combination of these two methods, a high subjective performance was achieved.
UR - https://www.scopus.com/pages/publications/0033316291
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0033316291&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
VL - 4
SP - 2685
EP - 2689
BT - Proceedings of the International Joint Conference on Neural Networks
T2 - 1999 International Joint Conference on Neural Networks (IJCNN'99)
Y2 - 10 July 1999 through 16 July 1999
ER -