Resolution-enhanced three-dimensional image reconstruction by use of smart pixel mapping in computational integral imaging

2008 ◽  
Vol 47 (35) ◽  
pp. 6656 ◽  
Author(s):  
Dong-Hak Shin ◽  
Chun-Wei Tan ◽  
Byung-Gook Lee ◽  
Joon-Jae Lee ◽  
Eun-Soo Kim
2013 ◽  
Vol 479-480 ◽  
pp. 958-962
Author(s):  
Xiao Wei Li ◽  
Seok Ki Lee ◽  
Sung Jin Cho ◽  
Seok Tae Kim

We propose a three-dimensional (3D) image encryption method based on the modified computational integral imaging (CII) technique with the smart pixel mapping (SPM) algorithm, which is introduced for reconstructing orthoscopic 3D images with improved image quality. The depth-converted two-dimensional (2D) elemental image array (EIA) is firstly obtained by SPM-based CII system, and then the 2D EIA is encrypted by Fibonacci transform for 3D image encryption. Compared with conventional encryption methods based on integral imaging (II), the proposed method enables us to reconstruct orthoscopic 3D images at long distance. In addition, the qualities of the reconstructed plane images are enhanced by applying the SPM and pixel average algorithm (PAA) in CII. To show the usefulness of the proposed method, we carry out the preliminary experiments and present the experimental results.


Author(s):  
R. A. Crowther

The reconstruction of a three-dimensional image of a specimen from a set of electron micrographs reduces, under certain assumptions about the imaging process in the microscope, to the mathematical problem of reconstructing a density distribution from a set of its plane projections.In the absence of noise we can formulate a purely geometrical criterion, which, for a general object, fixes the resolution attainable from a given finite number of views in terms of the size of the object. For simplicity we take the ideal case of projections collected by a series of m equally spaced tilts about a single axis.


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