Title :
VLSI design of a neural network based image processor
Author :
Fang, Xuegeng ; Starzyk, Janusz
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA
Abstract :
The design of a neural network based image processor is presented. The processor can be programmed for different image processing applications. Mixed-mode signals are used to enhance the performance of the processor. High throughput with small die area is achieved by careful design of the architecture and the multiplying D/A converter
Keywords :
VLSI; analogue processing circuits; digital signal processing chips; digital-analogue conversion; image processing equipment; mixed analogue-digital integrated circuits; multiplying circuits; neural chips; VLSI design; architecture; die area; image processing applications; mixed-mode signals; multiplying D/A converter; neural network based image processor; performance; throughput; Artificial neural networks; Hardware; Image processing; Neural networks; Pixel; Process design; Shift registers; Signal processing; Throughput; Very large scale integration;
Conference_Titel :
System Theory, 1994., Proceedings of the 26th Southeastern Symposium on
Conference_Location :
Athens, OH
Print_ISBN :
0-8186-5320-5
DOI :
10.1109/SSST.1994.287919
