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Proceedings Paper

Novel VLSI architecture for edge detection and image enhancement on video camera chips
Author(s): Tarik Hammadou; Abdesselam Bouzerdoum; Amine Bermak; Farid Boussaid; Moteza Biglari
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Paper 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.

Paper Details

Date Published: 15 May 2001
PDF: 10 pages
Proc. SPIE 4306, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II, (15 May 2001); doi: 10.1117/12.426976
Show Author Affiliations
Tarik Hammadou, Motorola Australia Research Ctr. and Edith Cowan Univ. (Australia)
Abdesselam Bouzerdoum, Edith Cowan Univ. (Australia)
Amine Bermak, Edith Cowan Univ. (Australia)
Farid Boussaid, Edith Cowan Univ. (Australia)
Moteza Biglari, Edith Cowan Univ. (Australia)


Published in SPIE Proceedings Vol. 4306:
Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II
Nitin Sampat; Morley M. Blouke; John Canosa; John Canosa; Nitin Sampat, Editor(s)

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