Title :
Adaptive image sensing and enhancement using the adaptive cellular neural network Universal Machine
Author :
Brendel, Matyás ; Roska, Tantás
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
A simple but powerful active image equalization method is introduced via adaptive CNN-UM sensor-computers. The method can be used for the adaptive control of image sensing and for subsequent image enhancement. The algorithm uses intensity and contrast content as well. The method is completely executable on the adaptive cellular neural network Universal Machine (ACNN-UM) architecture. The adaptive extended cell is presented
Keywords :
adaptive control; cellular neural nets; image enhancement; active image equalization method; adaptive CNN-UM sensor-computers; adaptive cellular neural network Universal Machine; adaptive image sensing; Adaptive control; Adaptive equalizers; Adaptive systems; Cellular neural networks; Computer architecture; Computer networks; Concurrent computing; Histograms; Image enhancement; Turing machines;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
DOI :
10.1109/CNNA.2000.876827
