• DocumentCode
    1552146
  • Title

    Power-Constrained Contrast Enhancement for Emissive Displays Based on Histogram Equalization

  • Author

    Lee, Chulwoo ; Lee, Chul ; Lee, Young-Yoon ; Kim, Chang-Su

  • Author_Institution
    Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
  • Volume
    21
  • Issue
    1
  • fYear
    2012
  • Firstpage
    80
  • Lastpage
    93
  • Abstract
    A power-constrained contrast-enhancement algorithm for emissive displays based on histogram equalization (HE) is proposed in this paper. We first propose a log-based histogram modification scheme to reduce overstretching artifacts of the conventional HE technique. Then, we develop a power-consumption model for emissive displays and formulate an objective function that consists of the histogram-equalizing term and the power term. By minimizing the objective function based on the convex optimization theory, the proposed algorithm achieves contrast enhancement and power saving simultaneously. Moreover, we extend the proposed algorithm to enhance video sequences, as well as still images. Simulation results demonstrate that the proposed algorithm can reduce power consumption significantly while improving image contrast and perceptual quality.
  • Keywords
    display instrumentation; image enhancement; convex optimization theory; emissive displays; histogram equalization; image contrast; log-based histogram modification scheme; perceptual quality; power-constrained contrast enhancement; video sequences; Helium; Histograms; Image processing; Organic light emitting diodes; Pixel; Power demand; Video sequences; Contrast enhancement; emissive displays; histogram equalization (HE); histogram modification (HM); image enhancement; low-power image processing; Algorithms; Computer Terminals; Data Display; Image Enhancement; Image Interpretation, Computer-Assisted; Numerical Analysis, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2011.2159387
  • Filename
    5873151