论文部分内容阅读
LED背光技术不仅显著增强了LCD显示的动态范围,同时使现有图像达到了更逼真的显示效果。通过对LED单独控制,可为显示提供区域可控的LED背光。然而,LED之间的干扰在这里不仅仅为我们提供了较高的亮度,同时也是产生潜在虚假图像的原因,这使得导出最佳LED驱动信号成为一项具有挑战性的工作。本文通过两个数学模型:迭代解旋法和线性优化法,计算分析了上述问题。并给出了这两个数学模型的算法,同时建立了一个包含161个高动态范围图像的图像数据库,对上述两种方法的效果进行了评估。
LED backlight technology not only significantly enhances the dynamic range of the LCD display, but also allows existing images to achieve a more realistic display. By individually controlling the LEDs, it is possible to provide a display area with a controllable LED backlight. However, the interference between LEDs not only gives us higher brightness here, but also creates the potential for false images, making it a challenging task to derive the best LED drive signal. In this paper, two mathematical models: iterative deconvolution and linear optimization, computational analysis of the above problems. The algorithms of these two mathematical models are also given. At the same time, an image database containing 161 high dynamic range images is established, and the effects of these two methods are evaluated.