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科研机构
北京大学 [1]
物理研究所 [1]
长春光学精密机械与物... [1]
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会议论文 [1]
其他 [1]
期刊论文 [1]
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2011 [1]
2006 [1]
2000 [1]
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Perfect reconstruction image modulation based on BEMD and quaternionic analytic signals
其他
2011-01-01
Qiao LiHong
;
Niu KaiFu
;
Wang Ning
;
Peng LiZhong
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浏览/下载:8/0
  |  
提交时间:2015/11/12
perfect reconstruction image modulation
AM-FM representation
BEMD
quaternionic analytic signals
EMPIRICAL MODE DECOMPOSITION
2-DIMENSIONAL FRINGE PATTERNS
PHASE QUADRATURE TRANSFORM
NATURAL DEMODULATION
SEPARATION
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.
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浏览/下载:10/0
  |  
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.
Amplitude correction in image deconvolution for determining crystal defects at atomic level
期刊论文
JOURNAL OF ELECTRON MICROSCOPY, 2000, 卷号: 49, 期号: 1, 页码: 17
Li, FH
;
Wang, D
;
He, WZ
;
Jiang, H
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浏览/下载:20/0
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提交时间:2013/09/17
RESOLUTION ELECTRON-MICROSCOPY
EXIT-WAVE RECONSTRUCTION
FOCUS-VARIATION
DIFFRACTION
PHASE
MICROGRAPHS
HRTEM
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