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Research on influences of atmospheric turbulence on long-distance Fourier ptychographic imaging 会议论文
Munich, Germany, 2019-06-24
作者:  Yang, Mingyang;  Fan, Xuewu;  Zhao, Hui;  Li, Chuang;  Xiang, Meng
收藏  |  浏览/下载：54/0  |  提交时间：2019/11/27
Measurement of the welding full-field deformation of the sheet material with different curvature based on digital image correlation 会议论文
作者:  Meng, Fanchang;  Liang, Jin;  Li, Jie;  Wang, Xiaoguang
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/26
Comparison of subset-based local and finite element-based global digital image correlation 会议论文
Conference Proceedings of the Society for Experimental Mechanics Series
作者:  Pan, B.;  Wang, B.;  Lubineau, G.;  Moussawi, A.
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30
Field strain measurement on the fiber-epoxy scale in CFRPs 会议论文
Conference Proceedings of the Society for Experimental Mechanics Series
作者:  Tao, R.;  Moussawi, A.;  Zhou, J.;  Lubineau, G.;  Pan, B.
收藏  |  浏览/下载：8/0  |  提交时间：2019/12/30
Three-dimensional deformation measuring system based on vision method 会议论文
作者:  Hao, Hu;  Jin, Liang;  Jianwei, Liu;  Zhenzhong, Xiao;  Zhengzong, Tang
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/18
Lossless Compression of Multispectral Images Using Prediction and Golomb Rice Coding 会议论文
6th International Symposium on Digital Earth, Beijing, China, September 9-12, 2009
作者:  Ma L(马龙);  Shi ZL(史泽林);  Chen YH(陈永红);  Tang XS(唐旭晟)
收藏  |  浏览/下载：13/0  |  提交时间：2012/06/06
Remotely-sensed investigation of the impact of Yangtze River's discharge to the East China Sea 会议论文
., 2009-07-12
Chen,Chuqun; Tang,Shilin; Shi,Ping; Zhan,Haigang
收藏  |  浏览/下载：11/0  |  提交时间：2011/07/22
The compression and storage method of the same kind of medical images-DPCM (EI CONFERENCE) 会议论文
4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China
Zhao X.; Wei J.; Zhai L.; Liu H.
收藏  |  浏览/下载：9/0  |  提交时间：2013/03/25
Medical imaging has started to take advantage of digital technology  opening the way for advanced medical imaging and teleradiology. Medical images  however  require large amounts of memory. At over 1 million bytes per image  a typical hospital needs a staggering amount of memory storage (over one trillion bytes per year)  and transmitting an image over a network (even the promised superhighway) could take minutes - too slow for interactive teleradiology. This calls for image compression to reduce significantly the amount of data needed to represent an image. Several compression techniques with different compression ratio have been developed. However  the lossless techniques  which allow for perfect reconstruction of the original images  yield modest compression ratio  while the techniques that yield higher compression ratio are lossy  that is  the original image is reconstructed only approximately Medical imaging poses the great challenge of having compression algorithms that are lossless (for diagnostic and legal reasons) and yet have high compression ratio for reduced storage and transmission time. To meet this challenge  we are developing and studying some compression schemes  which are either strictly lossless or diagnostically lossless  taking advantage of the peculiarities of medical images and of the medical practice. In order to increase the Signal to-Noise Ratio (SNR) by exploitation of correlations within the source signal  a method of combining differential pulse code modulation (DPCM) is presented.  

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