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Depth extraction method with high accuracy in integral imaging based on moving array lenslet technique

Depth extraction method with high accuracy in integral imaging based on moving array lenslet technique
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摘要 In order to improve depth extraction accuracy, a method using moving array lenslet technique(MALT) in pickup stage is proposed, which can decrease the depth interval caused by pixelation. In this method, the lenslet array is moved along the horizontal and vertical directions simultaneously for N times in a pitch to get N sets of elemental images. Computational integral imaging reconstruction method for MALT is taken to obtain the slice images of the 3 D scene, and the sum modulus(SMD) blur metric is taken on these slice images to achieve the depth information of the 3 D scene. Simulation and optical experiments are carried out to verify the feasibility of this method. In order to improve depth extraction accuracy, a method using moving array lenslet technique(MALT) in pickup stage is proposed, which can decrease the depth interval caused by pixelation. In this method, the lenslet array is moved along the horizontal and vertical directions simultaneously for N times in a pitch to get N sets of elemental images. Computational integral imaging reconstruction method for MALT is taken to obtain the slice images of the 3 D scene, and the sum modulus(SMD) blur metric is taken on these slice images to achieve the depth information of the 3 D scene. Simulation and optical experiments are carried out to verify the feasibility of this method.
出处 《Optoelectronics Letters》 EI 2018年第2期148-151,共4页 光电子快报(英文版)
基金 supported by the National Natural Science Foundation of China(Nos.11474169 and 61675100) the Tianjin Natural Science Foundation(No.15JCYBJC16900)
关键词 抽取方法 精确性 数组 成像 技术 不可分 重建方法 度量标准 Depth extraction method with high accuracy in integral imaging based on moving array lenslet technique
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