Power-constrained RGB-to-RGBW conversion for emissive displays

Chul Lee, Vishal Monga

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

    6 Scopus citations

    Abstract

    We propose a novel power-constrained RGB-to-RGBW conversion algorithm for emissive RGBW displays. We measure the perceived color distortion using a color difference model in a perceptually uniform color space, and compute the power consumption for displaying an RGBW pixel on an emissive display. The main contribution is to formulate the optimization problem to minimize the color distortion subject to the constraint on the power consumption. Then, we solve it efficiently to convert an image in real time. Simulation results show that the proposed algorithm provides significantly less color distortion than the conventional methods while providing a graceful trade-off with the amount of power consumed.

    Original languageEnglish (US)
    Title of host publication2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1205-1209
    Number of pages5
    ISBN (Print)9781479928927
    DOIs
    StatePublished - Jan 1 2014
    Event2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
    Duration: May 4 2014May 9 2014

    Publication series

    NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    ISSN (Print)1520-6149

    Other

    Other2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
    CountryItaly
    CityFlorence
    Period5/4/145/9/14

      Fingerprint

    All Science Journal Classification (ASJC) codes

    • Software
    • Signal Processing
    • Electrical and Electronic Engineering

    Cite this

    Lee, C., & Monga, V. (2014). Power-constrained RGB-to-RGBW conversion for emissive displays. In 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 (pp. 1205-1209). [6853788] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2014.6853788