Power-constrained contrast enhancement for emissive displays based on histogram equalization

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

Research output: Contribution to journalArticlepeer-review

155 Citations (Scopus)

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.

Original languageEnglish
Article number5873151
Pages (from-to)80-93
Number of pages14
JournalIEEE Transactions on Image Processing
Volume21
Issue number1
DOIs
Publication statusPublished - 2012 Jan

Bibliographical note

Funding Information:
Manuscript received October 15, 2010; revised February 19, 2011; accepted May 25, 2011. Date of publication June 13, 2011; date of current version December 16, 2011. This work was in part by the Mid-career Researcher Program through the National Research Foundation grant funded by the Ministry of Education, Science, and Technology under Grant 2010-0027541 and in part by Seoul Research and Business Development Program under Grant ST090818. Preliminary results of this paper were published in Proc. ICIP-2010, Sep. 2010. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Xin Li.

Keywords

  • Contrast enhancement
  • emissive displays
  • histogram equalization (HE)
  • histogram modification (HM)
  • image enhancement
  • low-power image processing

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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