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author:

Lai, E.-H. (Lai, E.-H..) [1] | Chen, B.-H. (Chen, B.-H..) [2] | Shi, L.-F. (Shi, L.-F..) [3]

Indexed by:

Scopus

Abstract:

Power-constrained image contrast enhancement is a fundamental step for improving the battery life in many modern consumer devices embedded an emissive-display panel, such as organic light emitting diode. Conventional power-constrained image contrast enhancement approaches in OLED displays are usually performed by histogram-relevant priors or heuristic curve-fitted techniques. Often, this results in either underexposure effects or color tone changes in the enhanced image. Different from the existing approaches, this paper proposes a novel power-constrained sparse representation model by joint l2,1-norm regularized sparse coding in order for gaining in power-saving and perceptible visual quality on OLED display, simultaneously. Experiments on both quantitative and qualitative evaluations demonstrate that the proposed PCSR approach noticeably outperforms the state-of-the-art power-constrained contrast-enhancement approaches. © 2018 IEEE.

Keyword:

battery life; emissive display panel; power-constrained image

Community:

  • [ 1 ] [Lai, E.-H.]Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, 320, Taiwan
  • [ 2 ] [Chen, B.-H.]Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, 320, Taiwan
  • [ 3 ] [Chen, B.-H.]Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan, 320, Taiwan
  • [ 4 ] [Shi, L.-F.]Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, 320, Taiwan
  • [ 5 ] [Shi, L.-F.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350116, China

Reprint 's Address:

  • [Chen, B.-H.]Department of Computer Science and Engineering, Yuan Ze UniversityTaiwan

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Source :

Proceedings - IEEE 1st Conference on Multimedia Information Processing and Retrieval, MIPR 2018

Year: 2018

Page: 309-314

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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