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author:

Lai, En-Hung (Lai, En-Hung.) [1] | Chen, Bo-Hao (Chen, Bo-Hao.) [2] | Shi, Ling-Feng (Shi, Ling-Feng.) [3]

Indexed by:

EI

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:

Display devices Image enhancement Organic light emitting diodes (OLED)

Community:

  • [ 1 ] [Lai, En-Hung]Department of Computer Science and Engineering, Yuan Ze University, Taoyuan; 320, Taiwan
  • [ 2 ] [Chen, Bo-Hao]Department of Computer Science and Engineering, Yuan Ze University, Taoyuan; 320, Taiwan
  • [ 3 ] [Chen, Bo-Hao]Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan; 320, Taiwan
  • [ 4 ] [Shi, Ling-Feng]Department of Computer Science and Engineering, Yuan Ze University, Taoyuan; 320, Taiwan
  • [ 5 ] [Shi, Ling-Feng]College of Mathematics and Computer Science, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • [chen, bo-hao]department of computer science and engineering, yuan ze university, taoyuan; 320, taiwan;;[chen, bo-hao]innovation center for big data and digital convergence, yuan ze university, taoyuan; 320, taiwan

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Source :

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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