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Visual enhancement using sparsity-based image decomposition for low backlight displays

机译:使用基于稀疏的图像分解的视觉增强用于低背光显示器

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We propose a power-constrained image enhancement system to maintain human visual perception when the LCD or LED display is under low backlight. Adopting the low backlight mode can save the electricity and lengthen the battery using time. First, we deduce the relationship between the image and the backlight for maintaining the same visual perceptual quality. Then, we propose a sparsity-based image decomposition to separate the intensity image into base layer and detail layer. Afterwards, we refer to the image-backlight relationship to compensate the base layer, while we also adopt texture-aw are boosting to enhance the detail layer. Experimental simulated results show that our system outperforms than the compared systems.
机译:我们提出了一种功率约束的图像增强系统,以保持人类视觉感知,当LCD或LED显示器处于低背光时。采用低背光模式可以节省电力并使用时间延长电池。首先,我们推断了图像与背光之间的关系,以保持相同的视觉感知质量。然后,我们提出了一种基于稀疏性的图像分解,以将强度图像分离为基层和细节层。之后,我们指的是图像背后关系以补偿基本层,而我们也采用纹理 - AW正在提升以增强细节层。实验模拟结果表明,我们的系统优于比较系统。

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