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

T. Hammadou, A. Bouzerdoum, A. Bermak, F. Boussaid, M. Biglari

Research output: Contribution to journalArticle


In this paper an image enhancing technique is described. It is based on Shunting Inhibitory Cellular Neural Networks (SICNN). 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 Shunting Inhibitory Cellular Neural Networks 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.

Original languageEnglish
Pages (from-to)393-402
Number of pages10
JournalProceedings of SPIE-The International Society for Optical Engineering
Publication statusPublished - 1 Jan 2001



  • CMOS imagers
  • Digital still camera
  • Shunting Inhibitory Cellular Neural Networks(SICNN)

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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