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Enhancement of Backlight-Scaled Images

机译:增强背光比例的图像

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Switching the liquid crystal display (LCD) backlight of a portable multimedia device to a low power level saves energy but results in poor image quality especially for the low-luminance image areas. In this paper, we propose an image enhancement algorithm that overcomes such effects of dim LCD backlight by taking the human visual property into consideration. It boosts the luminance of image areas below the perceptual threshold while preserving the contrast of the other image areas. We apply the just noticeable difference theory and decompose an image into an HVS response layer and a background luminance layer. The boosting and compression processes, which enhance the visibility of the low-luminance image areas, are carried out in the background luminance layer to avoid luminance gradient rever-sal and over-compensation. The contrast of the processed image is further enhanced by exploiting the Craik-O'Brein-Cornsweet visual illusion. Experimental results are provided to show the performance of the proposed algorithm.
机译:将便携式多媒体设备的液晶显示器(LCD)背光灯切换到低功率级别可节省能量,但会导致图像质量下降,尤其是对于低亮度图像区域。在本文中,我们提出了一种图像增强算法,该算法通过考虑人的视觉特性来克服昏暗的LCD背光的这种影响。它可以将图像区域的亮度提高到感知阈值以下,同时保留其他图像区域的对比度。我们应用恰到好处的差异理论,并将图像分解为HVS响应层和背景亮度层。在背景亮度层中执行增强和压缩过程,以增强低亮度图像区域的可见性,以避免亮度梯度反转和过度补偿。通过利用Craik-O'Brein-Cornsweet视觉错觉进一步增强了处理后图像的对比度。实验结果表明该算法的性能。

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