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Improving Image Quality of Tiled Displays

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Image Analysis and Recognition (ICIAR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9164))

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Abstract

Tiled displays provide an effective means of displaying very large images but suffer from a grid distortion caused by gaps between individual tiles. This paper introduces new image correction algorithms that use elements of the human visual system to improve perceived quality of the displayed images without directly modifying the static grid distortion. These correction techniques, validated through use of a formal user study, provide statistically significant improvements over unmodified grid-distorted images.

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Notes

  1. 1.

    Arguably five new algorithms; Algorithm 0 is a “do nothing” reference case.

  2. 2.

    This distance was greater than the typical recommended viewing distance of 3–4 times the image height because the image correction algorithms require a minimum viewing distance to be effective (as described in Sect. 2).

  3. 3.

    All statements of “statistically better” or “statistically worse” refer to a 95 % confidence interval).

  4. 4.

    True for our user study; may not hold true for darker environments.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada

    Steven B. McFadden & Paul A. S. Ward

Authors
  1. Steven B. McFadden
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  2. Paul A. S. Ward
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Corresponding author

Correspondence to Steven B. McFadden .

Editor information

Editors and Affiliations

  1. University of Waterloo, Waterloo, Ontario, Canada

    Mohamed Kamel

  2. University of Porto, Porto, Portugal

    Aurélio Campilho

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McFadden, S.B., Ward, P.A.S. (2015). Improving Image Quality of Tiled Displays. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2015. Lecture Notes in Computer Science(), vol 9164. Springer, Cham. https://doi.org/10.1007/978-3-319-20801-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-20801-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20800-8

  • Online ISBN: 978-3-319-20801-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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