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

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

Research output: Contribution to journalArticle

Abstract

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
Volume4306
DOIs
Publication statusPublished - 2001
Externally publishedYes

Fingerprint

Shunting Inhibitory Cellular Neural Networks
VLSI Architecture
Cellular neural networks
image enhancement
Image Enhancement
Image enhancement
edge detection
Edge Detection
Edge detection
very large scale integration
Video cameras
Chip
Enhancement
Camera
cameras
chips
Image Coding
augmentation
Digital Camera
Local Features

Keywords

  • 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

Cite this

Novel VLSI architecture for edge detection and image enhancement on video camera chips. / Hammadou, T.; Bouzerdoum, A.; Bermak, Amine; Boussaid, F.; Biglari, M.

In: Proceedings of SPIE-The International Society for Optical Engineering, Vol. 4306, 2001, p. 393-402.

Research output: Contribution to journalArticle

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