• DocumentCode
    86025
  • Title

    Optimizing Apparent Display Resolution Enhancement for Arbitrary Videos

  • Author

    Stengel, Michael ; Eisemann, Martin ; Wenger, Stephan ; Hell, Benjamin ; Magnor, Marcus

  • Author_Institution
    Comput. Graphics Lab., Tech. Univ., Braunschweig, Germany
  • Volume
    22
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    3604
  • Lastpage
    3613
  • Abstract
    Display resolution is frequently exceeded by available image resolution. Recently, apparent display resolution enhancement (ADRE) techniques show how characteristics of the human visual system can be exploited to provide super-resolution on high refresh rate displays. In this paper, we address the problem of generalizing the ADRE technique to conventional videos of arbitrary content. We propose an optimization-based approach to continuously translate the video frames in such a way that the added motion enables apparent resolution enhancement for the salient image region. The optimization considers the optimal velocity, smoothness, and similarity to compute an appropriate trajectory. In addition, we provide an intuitive user interface that allows to guide the algorithm interactively and preserves important compositions within the video. We present a user study evaluating apparent rendering quality and show versatility of our method on a variety of general test scenes.
  • Keywords
    computer displays; computer vision; graphical user interfaces; image enhancement; image resolution; optimisation; rendering (computer graphics); video signal processing; ADRE technique; apparent display resolution enhancement; apparent rendering quality evaluation; arbitrary video content; continuous video frame translation; general test scene; human visual system; image resolution; image superresolution; intuitive user interface; optimization-based approach; refresh rate display; salient image region; Apparent resolution enhancement; perception; saliency; super resolution; video enhancement; Algorithms; Humans; Image Processing, Computer-Assisted; Models, Biological; Video Recording; Vision, Ocular;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2013.2265885
  • Filename
    6522878