Novel VLSI architecture for edge detection and image enhancement on video camera chips

Tarik Hammadou; Abdesselam Bouzerdoum; Amine Bermak; Farid Boussaid; Moteza Biglari

doi:10.1117/12.426976

15 May 2001 Novel VLSI architecture for edge detection and image enhancement on video camera chips

Tarik Hammadou, Abdesselam Bouzerdoum, Amine Bermak, Farid Boussaid, Moteza Biglari

Proceedings Volume 4306, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II; (2001) https://doi.org/10.1117/12.426976
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

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.

Citation Download Citation

Tarik Hammadou, Abdesselam Bouzerdoum, Amine Bermak, Farid Boussaid, and Moteza Biglari "Novel VLSI architecture for edge detection and image enhancement on video camera chips", Proc. SPIE 4306, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II, (15 May 2001); https://doi.org/10.1117/12.426976

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