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

机译:使用基于稀疏性的图像分解实现低背光显示的视觉增强

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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:我们提出一种功率受限的图像增强系统,以在LCD或LED显示屏处于低背光状态时保持人的视觉感知。采用低背光模式可以节省电力并延长电池使用时间。首先,我们推导图像和背光之间的关系,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方法,将强度图像分为基础层和细节层。之后,我们参考图像-背光关系来补偿基础层,同时我们也采用纹理增强技术来增强细节层。实验仿真结果表明,我们的系统优于比较的系统。

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