摄屏类图像重构算法

目前摄影摄像设备所采集图像的分辨率远远高于屏幕分辨率,因此摄屏类图像经缩放后往往有大量摩尔纹产生.针对该类图像摩尔纹干扰以及内存过大、图像短焦距畸等现象,本文首次提出了摄屏类图像重构算法.首先,通过长度自适应的线型滤波算法分离网状高频信号.再通过快速Greedy算法和贝努利随机游走提取图像的高频信息,根据液晶点结构的先验知识,构建完整的液晶排布模型并数学拟合,分离出被拍摄屏幕画面信息和液晶点网状纹路.最后对图像矩阵空间重构,以及颜色通道的插值恢复.重构算法在矩阵空间上与原始图像一致,实验样本与原图的直方图相似度达到80%以上,远高于摄屏图像与原图38.7%的相似度.算法保留了图像信息,舍去高频网状噪声,恢复原始矩阵空间,使图像更符合实际需求.     

Mathematics and the Sensible World: Representing,Constructing, Simulating

The Paris-based scientific historian Amy Dahan-Dalmedico asks why a knowledge of numbers, algebra and abstract forms should be key to our understanding of the sensible world. As she reveals, mathematics, like the world itself, has shifted and fluctuated over time since its earliest origins in ancient Egypt. Evolving and morphing as a discipline, it has covered a diverse range of practices and theories. Copyright © 2011 John Wiley & Sons, Ltd.