Title :
Application issues of a programmable optical CNN implementation
Author :
Orzó, László ; Kés, Szabolcs T. ; Roska, Tamás
Author_Institution :
Comput. & Autom. Res. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
A programmable opto-electronic analogic CNN computer (POAC) provides an efficient frame for diverse image processing applications, as it combines the enormous inherent computational capabilities of our new, massively parallel, but flexibly programmable optical CNN implementation with the capabilities of a visual CNN-UM chip. Our optical CNN implementation is based on an original, semi-incoherent optical correlator architecture, which is superior to other optical implementations in several respects. It makes real time reprogramming of a new type of joint Fourier transform correlator (t2-JTC) possible while preserving the inherent speed of VanderLugt type of systems. Furthermore the POAC architecture overcomes the main limitations of both the microelectronic (VLSI) and other optical implementations. In this paper it will be shown that this device is particularly useful in image-processing algorithms, which cannot be fulfilled real time by any other existing optical or digital system due to the high number of pattern matching tasks required.
Keywords :
analogue integrated circuits; cellular neural nets; integrated optoelectronics; optical correlation; optical neural nets; real-time systems; POAC; VanderLugt systems; computational capabilities; flexibly programmable optical CNN; image processing; image-processing algorithms; joint Fourier transform correlator; massively parallel, CNN; programmable optical CNN implementation; programmable opto-electronic analogic CNN computer; real time reprogramming; semi-incoherent optical correlator architecture; t2-JTC; visual CNN-UM chip; Application software; Cellular neural networks; Computer architecture; Concurrent computing; Correlators; Fourier transforms; Image processing; Microelectronics; Optical computing; Real time systems;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
Print_ISBN :
981-238-121-X
DOI :
10.1109/CNNA.2002.1035048