Novel VLSI architecture for edge detection and image enhancement on video camera chips
Tarik Hammadou, Abdesselam Bouzerdoum, Amine Bermak, Farid Boussaïd, Moteza Biglari · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
In this paper an image enhancing technique is described. It is based on Shunting Inhibitory Cellular Neural Networks. As the limitation of the linear approaches to image coding, enhancement, and feature extraction became apparent, research in image processing began to disperse into the three goal-driven directions. However SICNNs model simultaneously addresses the three problems of coding, enhancement, and extraction as it acts to compress the dynamic range, reorganize the signal to improve visibility, suppress noise, and identify local features. The algorithm we are describing is simple and cost-effective, and can be easily applied in real-time processing for digital still camera application.