Power Constrained Contrast Enhancement by Joint L2,1-norm Regularized Sparse Coding for OLED Display

被引:2
|
作者
Lai, En-Hung [1 ]
Chen, Bo-Hao [1 ,2 ]
Shi, Ling-Feng [1 ,3 ]
机构
[1] Yuan Ze Univ, Dept Comp Sci & Engn, Taoyuan 320, Taiwan
[2] Yuan Ze Univ, Innovat Ctr Big Data & Digital Convergence, Taoyuan 320, Taiwan
[3] Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Fujian, Peoples R China
关键词
emissive display panel; power-constrained image; battery life; IMAGE; ALGORITHM;
D O I
10.1109/MIPR.2018.00071
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:309 / 314
页数:6
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