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Integral imaging reconstruction by sampling elemental imagesFormat | Member Price | Non-Member Price |
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Paper Abstract
The amount of image data from the captured three-dimensional integral image is large and the resolution of reconstructed images by conventional computational reconstruction methods is low in Integral Imaging (II) system. To overcome these problems, a computational reconstruction method by sampling elemental images array is proposed. This method makes full use of the matching pixels in adjacent elemental images of integral imaging, thus high resolution reconstruction is realized by only using sampled elemental images. Experimental results show that the proposed method improves the resolution of reconstructed images and reduces data amount used in reconstruction. This provides certain convenience for the storage and transmission of integral images.
Paper Details
Date Published: 21 February 2014
PDF: 7 pages
Proc. SPIE 9142, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013, 91420H (21 February 2014); doi: 10.1117/12.2054147
Published in SPIE Proceedings Vol. 9142:
Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013
Jorge Ojeda-Castaneda; Shensheng Han; Ping Jia; Jiancheng Fang; Dianyuan Fan; Liejia Qian; Yuqiu Gu; Xueqing Yan, Editor(s)
PDF: 7 pages
Proc. SPIE 9142, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013, 91420H (21 February 2014); doi: 10.1117/12.2054147
Show Author Affiliations
Published in SPIE Proceedings Vol. 9142:
Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013
Jorge Ojeda-Castaneda; Shensheng Han; Ping Jia; Jiancheng Fang; Dianyuan Fan; Liejia Qian; Yuqiu Gu; Xueqing Yan, Editor(s)
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