| Fresnel hologram reconstruction of complex three-dimensional object based on compressive sensing |
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| 作者姓名： | Xuemei Cao Xinzhu Sang Zhidong Chen Ying Zhang Junmin Leng Nan Guo Binbin Yan Jinhui Yuan Kuiru Wang Chongxiu Yu |
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| 基金项目： | This work was partly supported by the National Natural Science Foundation of China （No. 61177018）, the National ＂863＂ Program of China （No. 2012AA011902）, the Program for New Century Excellent Talents in University （No. NECT-11-0596）, the Key Program of Beijing Science and Technology Plan （No. D121100004812001）, and Beijing Nova Program （No. 2011066）. |
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| 摘 要： | Reconstruction the computer generated Fresnel hologram of complex 3D object based on compressive sensing （CS） is presented. The hologram is synthesized from a color image and the depth map of the 3D object. With the depth map, the intensity of the color image can be divided into multiple slices, which satisfy the condition of the sparsity of CS. Thus, the hologram can be reconstructed at different distances with corresponding scene focused using the CS method. The quality of the recovered images can be greatly improved compared with that from the back-propagation method. What＇s more, with the sub-sampled hologram, the image can be ideally reconstructed by the CS method, which can reduce the data-rate for transmission or storage.
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| 关 键 词： | 三维物体 菲涅耳 全息重建 压缩 彩色图像 计算机生成 全息图 传播方法 |
| 收稿时间： | 2014/2/28 |
Fresnel hologram reconstruction of complex three-dimensional object based on compressive sensing |
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| Xuemei Cao,Xinzhu Sang,Zhidong Chen,Ying Zhang,Junmin Leng,Nan Guo,Binbin Yan,Jinhui Yuan,Kuiru Wang,Chongxiu Yu.Fresnel hologram reconstruction of complex three-dimensional object based on compressive sensing[J].中国光学快报(英文版),2014,12(8):80901-31. |
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| Institution: | [1]State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications (BUPT), Beijing 100876, China; [2]College of Science, Minzu University of China, Bejing 100081, China |
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| Abstract: | Reconstruction the computer generated Fresnel hologram of complex 3D object based on compressive sensing(CS) is presented. The hologram is synthesized from a color image and the depth map of the 3D object. With the depth map, the intensity of the color image can be divided into multiple slices, which satisfy the condition of the sparsity of CS. Thus, the hologram can be reconstructed at different distances with corresponding scene focused using the CS method. The quality of the recovered images can be greatly improved compared with that from the back-propagation method. What's more, with the sub-sampled hologram, the image can be ideally reconstructed by the CS method, which can reduce the data-rate for transmission or storage. |
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| Keywords: | 090 1760 090 2870 |
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