Methods and Tools for High-Resolution Imaging

  • Tim Todman
  • Wayne Luk
Conference paper

DOI: 10.1007/978-3-540-30117-2_64

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3203)
Cite this paper as:
Todman T., Luk W. (2004) Methods and Tools for High-Resolution Imaging. In: Becker J., Platzner M., Vernalde S. (eds) Field Programmable Logic and Application. FPL 2004. Lecture Notes in Computer Science, vol 3203. Springer, Berlin, Heidelberg

Abstract

Film and video sequences are increasingly being digitised, allowing image processing operations to be applied to them in the digital domain. For film in particular, images are digitised at the limit of available scanners: each frame may contain 3000 by 2000 pixels, with 16 bits per colour channel. We investigate the consequences of working with these high-resolution images on FPGAs. We consider template matching and related algorithms, and derive a performance model to establish bounds on performance and to predict which optimisations may be fruitful. An architecture generator has been developed which can generate optimised implementations given image resolution, the FPGA platform architecture, and a description of the image processing algorithm.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Tim Todman
    • 1
  • Wayne Luk
    • 1
  1. 1.Department of ComputingImperial CollegeLondon

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