Power savings and enhancement of gray‐scale capability of LCD TVs with an adaptive dimming technique

Abstract— The luminance of a backlight unit for an LCD TV is adaptively and locally dimmed along with the input video signal in order to reduce the power consumption and also to improve the picture quality. By adopting the zero‐dimensional (0D), 1D, and 2D adaptive dimming techniques, a sample movie having 8.0% post‐gamma average picture levels (APL) could be displayed using 83%, 71%, and 50% of the original backlight power, respectively. For an adoption of the 2D dimming, an LED backlight is preferable. The adaptive‐dimming technique also allows the differential aging characteristics between the LED components and temperature dependence of color and luminance to be overcome. From simulations of a reduction in power consumption, it was found that 40 × 40 pixels is a unit of the local dimming, 30 frames for the sampling period, 24 dimming steps, and an equal‐signal‐step method for determining the dimming factor have been found to be appropriate. The gray‐scale capability of low‐luminance images can also be improved by dimming the backlight luminance and expanding the input signal. By using an LCD TV having an 8‐bit capability, an 11‐bit‐equivalent gray‐scale expression was experimentally proven.     

Characterizing displays by their temporal aperture: A theoretical framework

Abstract— The spatio‐temporal aperture and sample rate of a video display determines both the static and dynamic resolution of the video signal that is rendered. The dynamic display characteristics like the visibility of large‐area flicker, motion judder, and motion blur can be derived from the frame rate and the temporal extent of the pixel aperture (i.e., the temporal aperture). For example, liquid‐crystal displays (LCDs) have an aperture that is relatively small in the spatial dimension and wide in the temporal domain. Consequently, moving objects displayed on an LCD suffer from motion blur. Especially in TV applications, the temporal dimension has a large impact on the overall picture quality. The temporal aperture, together with the frame rate, is shown to predict the amount of perceived large‐area flicker, motion judder, and motion blur and also the performance of motion‐blur reduction algorithms for LCDs. From this analysis it is further determined how to obtain the optimal temporal aperture of a television display, for which not only properties of the human visual system (HVS), but also the properties of the video signal have to be taken into account.     

剪刀下的民间文化——民间剪纸的造型特点

民间剪纸是我国民间美术形式之一,有着悠久的历史。本文从剪纸的构图方法、剪纸的造型手段、剪纸的吉祥祝愿三个方面,分析剪纸的造型特点,从而体现出剪纸的造型源于原始的视觉思维方式和民间审美观念。     

Array automata and operations on array languages

Array automata acting on scenes (two dimensional tapes) are defined. The set of scenes accepted by array automata are proved to be equivalent to the set of arrays generated by array grammars. Certain operators like substitution, homomorphic replication and insertion are extended to sets of arrays. These operators yield interesting classes of pictures.     

基于时频分析的混沌谐波线性混合信号提取算法

混沌信号与谐波信号的分离问题是混沌信号处理中的重点问题,时频分析理论的日趋成熟为该问题带来了新的解决方案。针对不同噪声情况下混沌背景下谐波信号的提取进行分析,将小波变换与EMD方法进行比较,经仿真实验总结出一种新的谐波信号提取的融合算法,仿真实验验证了该算法的有效性。     

基于遗传匹配追踪分解的汉语孤立字声韵分割

汉语实际发音中声母能量小,其频率成分多且分布分散;而韵母能量相对较大,其频率成分较少且集中于中低频。运用时频分析方法,将声母和韵母发音的这些差异同时体现在时频平面的时频原子特征上,提出利用所得到的Gabor原子参数的不同对汉语孤立字进行声韵分割的新方法,并通过引入遗传算法降低匹配追踪算法搜索原子的运算量。对115个汉语孤立字的仿真实验显示,该方法的分割正确率可达80.87%。     

分数低阶α稳定分布的功率谱估计新方法

传统的α稳定分布噪声下信号功率谱估计方法有两种,分别为共变谱估计与协方差谱估计。这两种谱估计方法都是以自相关这个二阶矩作为频域分析对象,而自相关是个损失了信号中相位的信息,不能用于时频域分析。针对这一问题,提出了一种新的分数低阶功率谱估计方法,计算机仿真结果表明,与现有方法相比,该新方法不仅在进行分数低阶功率谱估计时具有更优良的性能,而且可进一步应用于时频域分析,具有更广泛的应用价值。     

一种用于瞬态陡脉冲信号处理的时域-频域联合外推方法

考虑雷电流激励情况下接地网瞬态响应为陡升缓降的特点,提出了一种基于Hermite函数展开改进的时域-频域联合外推方法。时域-频域联合外推方法通过分别对时域早时响应和频域低频响应采样,利用Hermite函数的时域-频域互反性构造外推系统完整的瞬态响应,但其不能处理陡脉冲激励的瞬态响应。文中对激励为陡脉冲的瞬态响应信号进行预处理和后处理工作。信号前处理工作为:在时域和频域内分别进行尺度变换,对瞬态响应波形进行平滑运算和序列补零,有效降低外推系数矩阵的条件数;给出了Hermite函数插值阶数的自适应确定方法;信号后处理工作为:为处理时域信号晚时响应的数值发散问题,文中进一步对信号采用GPOF方法进行平滑。数值算例和测量结果证明了该方法的正确性和有效性;文中算法适用于陡脉冲信号时域-频域的联合外推。     

人体骨架模型的建立

人体运动分析在计算机视觉研究领域中具有广泛的应用前景。人体骨架包含了很多的人体运动信息,且简单明了,所以对人体骨架提取具有很重要的意义。本文提出了一种人体骨架模型的建立方法,该方法在骨架提取方面有较强的去噪和抗干扰能力,有很好的鲁棒性,可提取更加有效的骨架图像,进一步结合人体解剖学的基础,建立了人体骨架模型,为人体特征识别(HID)和运动人体的实时追踪打下了坚实的基础。     

检测混凝土构件质量的时频分析方法

提出了应用时频分析法解释在混凝土构件上获得的高频地震数据，以确定混凝土构件的质量的方法，对混凝土构件的实际检测数据进行了处理分析，结果表明，时频分析方法可以提高分辨率并具有较强的实用性。