基于人眼视觉特性优化的灰度算法  

The Optimum Grayscale Algorithm Based on Human Visual Characteristics

作　　者：韩磊[1] 黄尚廉[1] 张智海[1] 张洁[1] 伍艺[1] 

机构地区：[1]重庆大学光电技术及系统教育部重点实验室,重庆400030

出　　处：《电视技术》2007年第1期34-37,共4页Video Engineering

基　　金：国家自然科学基金项目(60578023);重庆市院士基金项目(8272;8883)

摘　　要：介绍了主流显示器件的灰度调制方法,分析了现有方法的缺陷。以人眼视觉特性为基础建立数学模型,提出了一种灰度优化算法,并通过FPGA验证了其可行性。仿真表明该算法的结果更贴近理想亮度曲线,在256灰度等级下能提高多达32倍的闪烁频率,有效减小由于闪烁给人眼带来的不适,增强在播放动态画面时的稳定性。The gray modulation method is introduced in this paper, in which the flaw of the mainstream gray modulation is analyzed. According to the human visual characteristics an advanced algorithm based on the optimum mathematic model is put forward. The feasibility of the algorithm is proved by FPGA hardware and VHDL program. Simulations and analysis indicate that such optimum algorithm can produce better output that fits to the ideal curve. Compared with the former, it improves the peak flicker frequency up to 32 times at 256 grayscale, achieves better color performance, reduces the visible flicker, and enhances the stability of dynamic image.

关 键 词：脉宽调制 灰度级 算法 优化模型 微光机电系统 数字光处理 显示 

分 类 号：TN941[电子电信—信号与信息处理]