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

机译:通过联合L2,1-规范正则化稀疏编码提高OLED显示器的功率约束对比度

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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.
机译:功耗受限的图像对比度增强是改善许多嵌入了发光显示面板(例如有机发光二极管)的现代消费设备中电池寿命的基本步骤。 OLED显示器中的常规功率受限的图像对比度增强方法通常通过与直方图相关的先验或启发式曲线拟合技术来执行。通常,这会导致曝光不足效果或增强图像中的色调变化。与现有方法不同,本文提出了一种新的功率受限的稀疏表示模型,该模型通过联合l2,1-范数正则化稀疏编码,以同时获得节电和可感知的OLED显示视觉质量。定量和定性评估的实验表明,所提出的PCSR方法明显优于最新的功率受限对比度增强方法。

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