A compound regularizer for Bayesian restoration in photon imaging systems

2001 ◽  
Author(s):  
Mai K. Nguyen
Keyword(s):  
Imaging Systems ◽  
Photon Imaging ◽  
Bayesian Restoration

Wavelet-domain filtering for photon imaging systems

1999 ◽  
Vol 8 (5) ◽  
pp. 666-678 ◽  
Author(s):  
R.D. Nowak ◽  
R.G. Baraniuk
Keyword(s):  
Imaging Systems ◽  
Wavelet Domain ◽  
Photon Imaging

Digital imaging and quantitative image analysis of polymer blends

1996 ◽  
Vol 54 ◽  
pp. 170-171
Author(s):  
Xiao Zhang
Keyword(s):  
Digital Imaging ◽  
Imaging Techniques ◽  
Imaging Systems ◽  
Polymer Science ◽  
Key Factors ◽  
Multiple Imaging ◽  
Quantitative Image ◽  
Digital Imaging Systems ◽  
Multi Phase ◽  
Network Technologies

Polymer microscopy involves multiple imaging techniques. Speed, simplicity, and productivity are key factors in running an industrial polymer microscopy lab. In polymer science, the morphology of a multi-phase blend is often the link between process and properties. The extent to which the researcher can quantify the morphology determines the strength of the link. To aid the polymer microscopist in these tasks, digital imaging systems are becoming more prevalent. Advances in computers, digital imaging hardware and software, and network technologies have made it possible to implement digital imaging systems in industrial microscopy labs.

Golay Coded Sequences in Synthetic Aperture Imaging Systems

2011 ◽  
Vol 36 (4) ◽  
Author(s):  
Ihor Trots ◽  
Yuriy Tasinkevych ◽  
Andrzej Nowicki ◽  
Marcin Lewandowski
Keyword(s):  
Imaging Systems ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging
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