首页 | 官方网站   微博 | 高级检索  
     

改进的PMD距离图像超分辨率重建算法
引用本文:张旭东,沈玉亮,胡良梅,陈菁菁.改进的PMD距离图像超分辨率重建算法[J].中国图象图形学报,2012,17(4):480-486.
作者姓名:张旭东  沈玉亮  胡良梅  陈菁菁
作者单位:合肥工业大学计算机与信息学院, 合肥 230009;合肥工业大学计算机与信息学院, 合肥 230009;合肥工业大学计算机与信息学院, 合肥 230009;安徽农业大学信息与计算机学院, 合肥 230036
基金项目:国家自然科学基金项目(60875012,60905005);教育部博士点基金项目(2009111110015);安徽省自然科学基金项目(11040606M149)
摘    要:PMD(photonic mixer device)相机是一款基于TOF(time-of-flight)技术的3维成像系统,在获得2维灰度图像的基础上,能够同时捕捉距离图像和幅度图像。但它的主要缺点是分辨率低,并存在较大的随机噪声。针对此问题,结合PMD相机幅度信息和双边滤波器的特点,提出一种改进的非连续自适应马尔科夫随机场(DAMRF)模型的超分辨率重建方法,该模型引入调制信号幅度A的平方作为可信度,将其作为权值对传统DAMRF模型中能量函数的距离项进行自适应加权,从而增加距离图像每个像素点在平滑过程中的权值。该方法不仅提高了距离图像的空间分辨率,又能有效地对距离图像进行滤波去噪,同时也增强了距离图像的边缘信息,较好地保持了图像边缘的连续性。实验结果表明,该方法的重建结果优于传统DAMRF模型的超分辨率方法,获得重建图像的信噪比(SNR)和均方根误差(RMSE)都有较好的改善,重建图像的视觉效果也得到一定的提高。

关 键 词:超分辨率重建  PMD相机  TOF技术  非连续自适应马尔科夫随机场模型  可信度  双边滤波器
收稿时间:7/4/2011 12:00:00 AM
修稿时间:2011/9/22 0:00:00

Improved super-resolution reconstruction algorithm for PMD range image
Zhang Xudong,Shen Yuliang,Hu Liangmei and Chen Jingjing.Improved super-resolution reconstruction algorithm for PMD range image[J].Journal of Image and Graphics,2012,17(4):480-486.
Authors:Zhang Xudong  Shen Yuliang  Hu Liangmei and Chen Jingjing
Affiliation:School of Computer and Information, Hefei University of Technology, Hefei 230009, China;School of Computer and Information, Hefei University of Technology, Hefei 230009, China;School of Computer and Information, Hefei University of Technology, Hefei 230009, China;School of Information and Computer, Anhui Agricultural University, Hefei 230036, China
Abstract:A PMD (photonic mixer device) camera is a three-dimensional imaging system based on the TOF (time-of-flight) technology.While obtaining the two-dimensional gray image,this camera can capture a range image and an amplitude image at the same time.However,the main drawbacks of the camera are the low resolution and random noise.According to this problem,we combine the amplitude information of the PMD camera and a bilateral filter.An improved discontinuity adaptive Markov random field (DAMRF) model is introduced by a combination of super-resolution reconstruction methods,which introduces the square of the modulating signal amplitude A as confidence.Then this method will use it as the weight to carry on an adaptive weight for the distance items of the energy function of the traditional DAMRF model,so it increases the weights of the range image pixel in the process of smoothing.This method not only increases the spatial resolution of the range images,but also effectively filters and de-noises the range image.At the same time,it enhances the marginal information of the range image,and better maintains the continuity of the image edges.The experimental results demonstrate that the reconstruction result of this method is superior to that of the traditional DAMRF model.The method obtains a better improvement in the reconstructed image signal to noise ratio (SNR) and root mean square error (RMSE),and improves the visual effects of the reconstructed image.
Keywords:super-resolution reconstruction  PMD camera  TOF technology  discontinuity adaptive Markov random field model  confidence  bilateral filter
本文献已被 CNKI 等数据库收录!
点击此处可从《中国图象图形学报》浏览原始摘要信息
点击此处可从《中国图象图形学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号