Evaluation of visual aid enhancement algorithms for real-time embedded systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Individuals with visual impairments often suffer from a loss of visual sensitivity to high spatial frequencies that cannot be effectively treated by traditional methods. Recent developments in digital image processing technologies have allowed new and effective visual enhancement techniques to be investigated resulting in augmented visual aid. Edge detection, a digital image processing technique, has become a critical stage in enhancing the visually lost high spatial frequency components for the visually impaired. Visual aid devices require effective and efficient implementation of edge detection for use within real-time embedded platforms. This paper evaluates multiple edge detection algorithms of various complexity realized within a 6416 DSP and a Virtex-5 FPGA. In addition, the mathematically complex Statistical edge detection technique is presented and optimized for use within embedded devices. The optimized FPGA realization demonstrates throughput improvements of 137.66% and is comparable to a FPGA implemented Canny edge detection throughput and resources.
Original languageEnglish
Title of host publication2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS)
EditorsGeyong Min, Laurent Lefevre, Jia Hu, Lei (Chris) Liu, Laurence T. Yang, Seetharami Seelam
PublisherIEEE
Pages1762-1769
ISBN (Electronic)9780769547497
ISBN (Print)9781467321648
DOIs
Publication statusPublished - 18 Oct 2012

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Keywords

  • image edge detection
  • visualisation
  • field programmable gate arrays
  • digital signal processing
  • Laplace equations
  • algorithm design and analysis

Cite this

Gibson, R. M., McMeekin, S. G., Ahmadinia, A., Strang, N. C., & Morison, G. (2012). Evaluation of visual aid enhancement algorithms for real-time embedded systems. In G. Min, L. Lefevre, J. Hu, L. C. Liu, L. T. Yang, & S. Seelam (Eds.), 2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS) (pp. 1762-1769). IEEE. https://doi.org/10.1109/HPCC.2012.265