Underwater Target Imaging Based on Computational Integral Imaging

Xuewei, 赵雪微 Zhao; Yaoyao, 王尧尧 Wang; Lipei, 宋丽培 Song; Bo, 张勃 Zhang; Xing, 赵星 Zhao

doi:10.3788/cjl201845.0109001

中国激光

2018

DOI: 10.3788/cjl201845.0109001

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Underwater Target Imaging Based on Computational Integral Imaging

赵雪微 Zhao Xuewei¹,

王尧尧 Wang Yaoyao²,

宋丽培 Song Lipei³

et al.

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2020

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Depth extraction in computational integral imaging based on bilinear interpolation

Huang¹,

Ge²

2020

Optica Applicata

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We proposed a method using a merit function to determine the depth of objects in computational integral imaging by analyzing the existing methods for depth extraction of target objects. To improve the resolution of reconstructed slice images, we use a digital camera moving in horizontal and vertical direction with the set interval to get elemental images with high resolution and bilinear interpolation algorithm to increase the number of pixels in slice image which improves the resolution obviously. To show the feasibility of the proposed method, we carried out our experiment and presented the results. We also compared it with other merit functions. The results show that merit function SMD2 to determine the depth of objects is more accurate and suitable for real-time application.

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Depth extraction in computational integral imaging based on bilinear interpolation

Huang¹,

Ge²

2020

Optica Applicata

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Underwater Target Imaging Based on Computational Integral Imaging

Cited by 1 publication

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Depth extraction in computational integral imaging based on bilinear interpolation

Depth extraction in computational integral imaging based on bilinear interpolation

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