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  • Research Article
  • Open Access

Smart Camera Based on Embedded HW/SW Coprocessor

  • 1Email author,
  • 2,
  • 1 and
  • 1
EURASIP Journal on Embedded Systems20082008:597872

  • Received: 1 March 2008
  • Accepted: 8 September 2008
  • Published:


This paper describes an image acquisition and a processing system based on a new coprocessor architecture designed for CMOS sensor imaging. The system exploits the full potential CMOS selective access imaging technology because the coprocessor unit is integrated into the image acquisition loop. The acquisition and coprocessing architecture are compatible with the majority of CMOS sensors. It enables the dynamic selection of a wide variety of acquisition modes as well as the reconfiguration and implementation of high-performance image preprocessing algorithms (calibration, filtering, denoising, binarization, pattern recognition). Furthermore, the processing and data transfer, from the CMOS sensor to the processor, can be operated simultaneously to increase achievable performances. The coprocessor architecture has been designed so as to obtain a unit that can be configured on the fly, in terms of type and number of chained processing stages (up to 8 successive predefined preprocessing stages), during the image acquisition process that can be defined by the user according to each specific application requirement. Examples of acquisition and processing performances are reported and compared to classical image acquisition systems based on standard modular PC platforms. The experimental results show a considerable increase of the achievable performances.


  • Image Acquisition
  • Classical Image
  • Preprocessing Stage
  • Dynamic Selection
  • Achievable Performance

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Authors’ Affiliations

GR-LSM, Faculté STI, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH 1015 Lausanne, Switzerland
Laboratoire LE2I, Faculté des Sciences Mirande, Université de Bourgogne, 21000 Dijon, France


© Romuald Mosqueron et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.