1 September 2009 Fast local reconstruction method of 3-D image based on backward computational integral imaging reconstruction
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Abstract
In this paper, we propose a fast local reconstruction method of the 3-D image in the computational integral imaging system. In the proposed method, after selecting a reconstruction plane, the pixel of the reconstruction plane is obtained by calculating the average of the pixel values corresponding to each elemental image. That is called here a backward computational integral imaging reconstruction, which doesn't need the normalization process after reconstruction. Then, the elemental image array transformed by using sub-image transforms to produce a sub-image array. Finally, we use the stereo matching algorism for detecting the area of the object image in the each sub-image. To show the feasibility of the proposed method, we implement various computer simulations and present the results.
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Peter ByungHoon Han, Peter ByungHoon Han, Yongri Piao, Yongri Piao, Dong-Hak Shin, Dong-Hak Shin, Eun-Soo Kim, Eun-Soo Kim, } "Fast local reconstruction method of 3-D image based on backward computational integral imaging reconstruction", Proc. SPIE 7442, Optics and Photonics for Information Processing III, 744215 (1 September 2009); doi: 10.1117/12.826075; https://doi.org/10.1117/12.826075
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