基于元素图像阵列采样的集成成像重构方法
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摘要
高质量的集成成像系统需要采集和存储大量图像数据。提出了一种新的计算机重构方法,可以减少集成成像系统显示端在计算机重构时所需要使用的数据量。传统的计算机重构方法要利用每个元素图像,而此方法对CCD相机采集的元素图像阵列进行周期采样,仅利用被采样的元素图像即可重构出多视点图像。这种方法充分利用集成成像中邻近的元素图像中具有匹配像素的特点,将未被采样的元素图像信息由邻近的被采样的元素图像中的匹配像素替代,从而减少了重构过程中使用的数据量,这给不同性能的集成成像显示端带来很大的灵活性,降低了对存储空间和传输带宽的要求。
High-quality integral imaging(II)system requires collecting and storing large amounts of image data.To reduce the amount of data demanded by II display part during computational reconstruction,a novel computional reconstruction method is proposed.Conventional computational reconstruction needs to use each elemental image.However,in the proposed method,elemental images array recorded by CCD camera are periodically sampled,and multiple view images can be reconstructed by only utilizing the sampled elemental images.This method makes full use of the matching pixel for the adjacent elemental images in integral imaging.Therefore,the unsampled elemental image information can be replaced by the matching pixel in the sampled elemental images to reconstruct multiple view images.Thus,the amount of data required for reconstruction can be reduced by using this proposed method,which can provide flexibility for II display part with different performances,and reduces the requirements for the storage capacity and transmission bandwidth for integral images.
High-quality integral imaging(II)system requires collecting and storing large amounts of image data.To reduce the amount of data demanded by II display part during computational reconstruction,a novel computional reconstruction method is proposed.Conventional computational reconstruction needs to use each elemental image.However,in the proposed method,elemental images array recorded by CCD camera are periodically sampled,and multiple view images can be reconstructed by only utilizing the sampled elemental images.This method makes full use of the matching pixel for the adjacent elemental images in integral imaging.Therefore,the unsampled elemental image information can be replaced by the matching pixel in the sampled elemental images to reconstruct multiple view images.Thus,the amount of data required for reconstruction can be reduced by using this proposed method,which can provide flexibility for II display part with different performances,and reduces the requirements for the storage capacity and transmission bandwidth for integral images.
引文
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15 Piao Yan.Imaging reconstruction technique based on tridimensional pixel mapping[J].Acta Photonica Sinica,2009,37 (12):2560-2563.朴燕.基于立体像素匹配的图像重构技术研究[J].光子学报,2009,37(12):2560-2563.
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17 Zhang Yujin.Image Processing and Analysis[M].Beijing:Tsinghua University Press,2004.138-139.章毓晋.图像处理和分析[M].北京:清华大学出版社,2004.138-139.
2 Wang Fang,Li Da,Zhao Xing,et al..Study on the stereo depth of integral imaging three-dimensional display system[J].Chinese J Lasers,2011,38(s1):s109002.王芳,黎达,赵星,等.集成成像三维显示系统立体深度的研究[J].中国激光,2011,38(s1):s109002.
3 Dai Zhihua,Xu Yuping,Bu Jing,et al..Light field microscope to achieve three-dimensional real-time naked-eye display[J].Acta Optica Sinica,2012,32(10):1022005.戴志华,徐于萍,步敬,等.光场显微镜实现裸眼三维实时显示[J].光学学报,2012,32(10):1022005.
4 S Sawada,H Kakeya.Integral volumetric imaging using decentered elemental lenses[J].Opt Express,2012,20(23):25902-25913.
5 D H Shin,C W Tan,B G Lee,et al..Resolution-enhanced three-dimensional image reconstruction by use of smart pixel mapping in computational integral imaging[J].Appl Opt,2008,47(35):6656-6665.
6 Yang Dingding,Wang Xiaorui,Yang Chen,et al..Reconstruction of three-dimensional information in integral imaging system[J].Journal of Xidian University,2012,39(5):102 -106.杨钉钉,王晓蕊,杨琛,等.三维集成成像系统中物体三维信息的重建方法[J].西安电子科技大学学报,2012,39(5):102-106.
7 M Cho,B Javidi.Computational reconstruction of threedimensional integral imaging by rearrangement of elemental image pixels[J].Journal of Display Technology,2009,5(2):61-65.
8 M Cho,B Javidi.Free view reconstruction of three-dimensional integral imaging using tilted reconstruction planes with locally nonuniform magnification[J].Journal of Display Technology,2009,5(9):345-349.
9 GLippmann.La photograhie integrale[J].Comptes Rendus Acad Sci,1908,146:446-451.
10 E Elharar,Adrian Stern,Ofer Hadar,et al..A hybrid compression method for integral images using discrete wavelet transform and discrete cosine transform[J].Journal of Display Technology,2007,3(3):321-325.
11 SYeom,A Stern,B Javidi.Compression of 3Dcolor integral images[J].Opt Express,2004,12(8):1632-1642.
12 H Park,Y Kim,J Kim,et al..Three-dimensional display scheme based on integral imaging with three-dimensional information processing[J].Opt Express,2004,12(24):6020-6032.
13 Piao Yan,Wang Yu.Non-periodic reconstruction technique of computational integral imaging[J].Journal of Information and Computational Science,2008,5(3):1259-1264.
14 H Arimoto,B Javidi.Integral three-dimensional imaging with digital reconstruction[J].Opt Lett,2001,26(3):157-159.
15 Piao Yan.Imaging reconstruction technique based on tridimensional pixel mapping[J].Acta Photonica Sinica,2009,37 (12):2560-2563.朴燕.基于立体像素匹配的图像重构技术研究[J].光子学报,2009,37(12):2560-2563.
16 Jiao Xiaoxue.Study of Optical Pick-Up System on Integral Imaging Three-Dimensional Display Technology[D].Tianjin:Nankai University,2012.23-25.焦小雪.集成成像三维显示技术中光学记录系统的研究[D].天津:南开大学,2012.23-25.
17 Zhang Yujin.Image Processing and Analysis[M].Beijing:Tsinghua University Press,2004.138-139.章毓晋.图像处理和分析[M].北京:清华大学出版社,2004.138-139.
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