Integral imaging system featuring a seamlessly extended depth of field

2012 ◽  
Vol 54 (7) ◽  
pp. 1705-1711 ◽  
Author(s):  
Kai Xu ◽  
Yong-Seok Hwang ◽  
Sang-Shin Lee
Keyword(s):  
Imaging System ◽  
Depth Of Field ◽  
Integral Imaging ◽  
Extended Depth Of Field

An extended depth-of-field imaging system with a non-rotationally symmetric phase mask

2018 ◽  
Vol 89 (10) ◽  
pp. 103101 ◽  
Author(s):  
Hongbo Xie ◽  
Lirong He ◽  
Lei Yang ◽  
Chensheng Mao ◽  
Meng Zhu ◽  
...  
Keyword(s):  
Imaging System ◽  
Phase Mask ◽  
Depth Of Field ◽  
Rotationally Symmetric ◽  
Extended Depth Of Field ◽  
Field Imaging ◽  
Symmetric Phase

Alleviating image artifacts in wavefront coding extended depth of field imaging system

2019 ◽  
Vol 436 ◽  
pp. 232-238
Author(s):  
Xutao Mo ◽  
Tao Zhang ◽  
Bin Wang ◽  
Xianshan Huang ◽  
Cuifang Kuang ◽  
...  
Keyword(s):  
Imaging System ◽  
Depth Of Field ◽  
Image Artifacts ◽  
Wavefront Coding ◽  
Extended Depth Of Field ◽  
Field Imaging

scholarly journals Extended depth-of-field in integral imaging by depth-dependent deconvolution

2013 ◽  
Author(s):  
H. Navarro ◽  
G. Saavedra ◽  
M. Martinez-Corral ◽  
M. Sjöström ◽  
R. Olsson
Keyword(s):  
Depth Of Field ◽  
Integral Imaging ◽  
Extended Depth Of Field

Extended-depth-of-field object detection with wavefront coding imaging system

2019 ◽  
Vol 125 ◽  
pp. 597-603 ◽  
Author(s):  
Liquan Dong ◽  
Haoyuan Du ◽  
Ming Liu ◽  
Yuejin Zhao ◽  
Xueyan Li ◽  
...  
Keyword(s):  
Object Detection ◽  
Imaging System ◽  
Depth Of Field ◽  
Wavefront Coding ◽  
Extended Depth Of Field

Measurement of the Object Defocus with Extended Depth-of-field Imaging System

2018 ◽  
Vol 47 (10) ◽  
pp. 1011003
Author(s):  
周亮 ZHOU Liang ◽  
刘朝晖 LIU Zhao-hui ◽  
单秋莎 SHAN Qiu-sha ◽  
折文集 SHE Wen-ji
Keyword(s):  
Imaging System ◽  
Depth Of Field ◽  
Extended Depth Of Field ◽  
Field Imaging

scholarly journals Enhancement of depth-of-field in a direct projection-type integral imaging system by a negative lens array

2012 ◽  
Vol 20 (23) ◽  
pp. 26021 ◽  
Author(s):  
Lei Zhang ◽  
Yong Yang ◽  
Xing Zhao ◽  
Zhiliang Fang ◽  
Xiaocong Yuan
Keyword(s):  
Imaging System ◽  
Depth Of Field ◽  
Integral Imaging ◽  
Lens Array ◽  
Direct Projection ◽  
Type Integral

Integral imaging with extended depth of field

2005 ◽  
Author(s):  
Manuel Martínez-Corral ◽  
Raúl Martínez-Cuenca ◽  
Genaro Saavedra ◽  
Bahram Javidi
Keyword(s):  
Depth Of Field ◽  
Integral Imaging ◽  
Extended Depth Of Field

scholarly journals Investigation of extended depth-of-field f/8 camera with optimized cubic phase mask and digital restoration

2020 ◽  
Vol 238 ◽  
pp. 03008
Author(s):  
Po-Sheng Chiu ◽  
Kurt Vonmetz ◽  
Federico Canini ◽  
H. Paul Urbach
Keyword(s):  
Mean Squared Error ◽  
Imaging System ◽  
Optimal Solution ◽  
Phase Mask ◽  
Depth Of Field ◽  
Cubic Phase ◽  
Modulation Transfer ◽  
Original Design ◽  
Digital Restoration ◽  
Extended Depth Of Field

An investigation of extended depth-of-field camera with optimized phase mask and digital restoration is presented. The goal of this paper is to implement the wavefront coding technique without affecting much of the original design, and the design has taken the complexity of imaging system into consideration. The optimized strength of cubic phase mask (CPM) is based on the analytical optimal solution for the task-based imaging system [J. Opt. Soc. Am. A 25, 1064 (2008)]. The noisy intermediate images of CPM system with highest spatial frequency of interest can be effectively restored by vector-based Richardson-Lucy algorithm. Restoration from the system with generalized CPM produces precise image position than the system with CPM does. In general, the CPM system procures modulation transfer function higher than 0.195 in the whole depth-of-field, and the mean squared error of the restored images are less than 5 %.

scholarly journals Enhanced depth of field and resolution three-dimensional integral imaging by variable spatial filtering and intermediate-view reconstruction technique

2021 ◽  
Vol 51 (4) ◽  
Author(s):  
Juezhen Huang ◽  
Peng Ge
Keyword(s):  
Image Quality ◽  
Imaging System ◽  
Three Dimensional ◽  
Spatial Filtering ◽  
Block Matching ◽  
Depth Of Field ◽  
Integral Imaging ◽  
Different Depths ◽  
View Reconstruction ◽  
Filtering Element

In this paper, we propose a novel three-dimensional (3D) integral imaging system to simultaneously improve the depth of field (DOF), resolution, and image quality of reconstructed images by variable spatial filtering and intermediate-view reconstruction technology (IVRT). In the proposed method, the camera performs element images acquisition on a 3D scene with objects of different depths through a 2D grid plane. The reconstructed slice image and block matching algorithm are used to extract the depth of the element images. To improve the sharpness of depth, the Laplace operator is used to perform variable depth filtering on objects of different depths, and depth-enhanced all-filtering element images are obtained through simple pixel fusion. IVRT is applied to all-filtering element images to obtain more element images to reconstruct a resolution-enhanced 3D image. According to the energy of gradient (EOG) value and the Tenengrad value, the reconstruction image quality evaluation of the proposed method is improved by 7.63 and 4.81 times compared with the traditional method, respectively. By the proposed method of generating all-filtering element images and an IVRT in 3D integral imaging system, the experimental results demonstrate that the 3D reconstructed image has extended depth of field, enhanced resolution and improved image quality.

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