Bahram Javidi
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View article: Photothermal digital holography for imaging and characterization of multilayered structures
Photothermal digital holography for imaging and characterization of multilayered structures Open
Imaging multilayered hidden structures is challenging due to scattering, diffusion, and varied material responses. We demonstrate photothermal digital holography combining laser-induced heating with phase-sensitive holography for non-invas…
View article: Polarization-informed deep learning for 3D integral imaging restoration in turbidity
Polarization-informed deep learning for 3D integral imaging restoration in turbidity Open
In this paper, we present a polarimetric image restoration approach that aims to recover the Stokes parameters and the degree of linear polarization from their corresponding degraded counterparts. The Stokes parameters and the degree of li…
View article: Can turbidity improve underwater optical imaging in occlusion?
Can turbidity improve underwater optical imaging in occlusion? Open
It is generally assumed that oceanic effects, such as absorption, scattering, and turbulence, deteriorate underwater optical imaging and/or signal detection. In this paper, we present an interesting observation that slight turbidity may ac…
View article: Robustness of lensless single random phase encoding systems to image sensor pixel size
Robustness of lensless single random phase encoding systems to image sensor pixel size Open
In this paper, we propose a procedure to analyze lensless single random phase encoding (SRPE) systems to assess their robustness to variations in image sensor pixel size as the input signal frequency is varied. We use wave propagation to e…
View article: Physics informed image restoration under low illumination with simultaneous parameter estimation using 3D integral imaging and Bayesian neural networks
Physics informed image restoration under low illumination with simultaneous parameter estimation using 3D integral imaging and Bayesian neural networks Open
Image restoration aims to recover a clean image given a noisy image. It has long been a topic of interest for researchers in imaging, optical science and computer vision. As the imaging environment becomes more and more deteriorated, the p…
View article: Automated lensless blood sample identification through scattering media using deep learning architectures
Automated lensless blood sample identification through scattering media using deep learning architectures Open
Lensless devices paired with deep learning models have recently shown great promise as a novel approach to biological screening. As a first step toward performing automated lensless cell identification non-invasively, we present a field-po…
View article: Supplementary document for Digital holographic deep learning of red blood cells for field-portable, rapid COVID-19 screening - 5161530.pdf
Supplementary document for Digital holographic deep learning of red blood cells for field-portable, rapid COVID-19 screening - 5161530.pdf Open
Supplemental Data for Digital holographic deep learning of red blood cells for rapid COVID-19 screening
View article: Roadmap on Optics and Photonics for Security and Encryption
Roadmap on Optics and Photonics for Security and Encryption Open
International audience
View article: Polarimetric 3D integral imaging profilometry under degraded environmental conditions
Polarimetric 3D integral imaging profilometry under degraded environmental conditions Open
We propose polarimetric three-dimensional (3D) integral imaging profilometry and investigate its performance under degraded environmental conditions in terms of the accuracy of object depth acquisition. Integral imaging based profilometry …
View article: Longitudinal resolution of three-dimensional integral imaging in the presence of noise
Longitudinal resolution of three-dimensional integral imaging in the presence of noise Open
The two-point source longitudinal resolution of three-dimensional integral imaging depends on several factors including the number of sensors, sensor pixel size, pitch between sensors, and the lens point spread function. We assume the two-…
View article: Focus issue introduction: 3D image acquisition and display: technology, perception and applications
Focus issue introduction: 3D image acquisition and display: technology, perception and applications Open
This Feature Issue of Optics Express is organized in conjunction with the 2023 Optica conference on 3D Image Acquisition and Display: Technology, Perception and Applications which was held from 14 to 17 208 of August as part of the 2023 Im…
View article: High-speed 3D integral imaging for sensing and visualization of dynamic underwater events
High-speed 3D integral imaging for sensing and visualization of dynamic underwater events Open
The study of high-speed phenomena in underwater environments is pivotal across diverse scientific and engineering domains. This paper introduces a high-speed (3D) integral imaging (InIm) based system to 1) visualize high-speed dynamic unde…
View article: 3D object tracking using integral imaging with mutual information and Bayesian optimization
3D object tracking using integral imaging with mutual information and Bayesian optimization Open
Integral imaging has proven useful for three-dimensional (3D) object visualization in adverse environmental conditions such as partial occlusion and low light. This paper considers the problem of 3D object tracking. Two-dimensional (2D) ob…
View article: Robustness of single random phase encoding lensless imaging with camera noise
Robustness of single random phase encoding lensless imaging with camera noise Open
In this paper, we assess the noise-susceptibility of coherent macroscopic single random phase encoding (SRPE) lensless imaging by analyzing how much information is lost due to the presence of camera noise. We have used numerical simulation…
View article: Spatial perception in stereoscopic augmented reality based on multifocus sensing
Spatial perception in stereoscopic augmented reality based on multifocus sensing Open
In many areas ranging from medical imaging to visual entertainment, 3D information acquisition and display is a key task. In this regard, in multifocus computational imaging, stacks of images of a certain 3D scene are acquired under differ…
View article: Assessment of 3D Integral Imaging Information Loss in Degraded Environments
Assessment of 3D Integral Imaging Information Loss in Degraded Environments Open
This paper presents an experimental analysis of information loss in degraded environments for traditional 2D imaging and 3D integral imaging. We consider mutual information to quantify this information loss. Our experimental analysis shows…
View article: Editor-in-Chief
Editor-in-Chief Open
she is currently a Full Professor and known as one of
View article: Three-dimensional integral imaging-based image descattering and recovery using physics informed unsupervised CycleGAN
Three-dimensional integral imaging-based image descattering and recovery using physics informed unsupervised CycleGAN Open
Image restoration and denoising has been a challenging problem in optics and computer vision. There has been active research in the optics and imaging communities to develop a robust, data-efficient system for image restoration tasks. Rece…
View article: Underwater object detection and temporal signal detection in turbid water using 3D-integral imaging and deep learning
Underwater object detection and temporal signal detection in turbid water using 3D-integral imaging and deep learning Open
Underwater scattering caused by suspended particles in the water severely degrades signal detection performance and poses significant challenges to the problem of object detection. This paper introduces an integrated dual-function deep lea…
View article: Underwater optical signal detection system using diffuser-based lensless imaging
Underwater optical signal detection system using diffuser-based lensless imaging Open
We propose a diffuser-based lensless underwater optical signal detection system. The system consists of a lensless one-dimensional (1D) camera array equipped with random phase modulators for signal acquisition and one-dimensional integral …
View article: Thickness and surface profiling of optically transparent and reflecting samples using lens-less self-referencing digital holographic microscopy
Thickness and surface profiling of optically transparent and reflecting samples using lens-less self-referencing digital holographic microscopy Open
Thickness and surface profiling of transparent/semi-transparent specimens are vital in various applications, including electronics, optics, healthcare, and biotechnology. Surface profiling techniques characterize and analyze surface thickn…
View article: 3D integral imaging depth estimation of partially occluded objects using mutual information and Bayesian optimization
3D integral imaging depth estimation of partially occluded objects using mutual information and Bayesian optimization Open
Integral imaging (InIm) is useful for passive ranging and 3D visualization of partially-occluded objects. We consider 3D object localization within a scene and in occlusions. 2D localization can be achieved using machine learning and non-m…
View article: Focus Issue Introduction: 3D Image Acquisition and Display: Technology, Perception and Applications
Focus Issue Introduction: 3D Image Acquisition and Display: Technology, Perception and Applications Open
This Feature Issue of Optics Express is organized in conjunction with the 2022 Optica conference on 3D Image Acquisition and Display: Technology, Perception and Applications which was held in hybrid format from 11 to 15, July 2022 as part …
View article: Assessment of lateral resolution of single random phase encoded lensless imaging systems
Assessment of lateral resolution of single random phase encoded lensless imaging systems Open
In this paper, we have used the angular spectrum propagation method and numerical simulations of a single random phase encoding (SRPE) based lensless imaging system, with the goal of quantifying the spatial resolution of the system and ass…
View article: End-to-end integrated pipeline for underwater optical signal detection using 1D integral imaging capture with a convolutional neural network
End-to-end integrated pipeline for underwater optical signal detection using 1D integral imaging capture with a convolutional neural network Open
Underwater optical signal detection performance suffers from occlusion and turbidity in degraded environments. To tackle these challenges, three-dimensional (3D) integral imaging (InIm) with 4D correlation-based and deep-learning-based sig…
View article: 3D object detection through fog and occlusion: passive integral imaging vs active (LiDAR) sensing
3D object detection through fog and occlusion: passive integral imaging vs active (LiDAR) sensing Open
In this paper, we address the problem of object recognition in degraded environments including fog and partial occlusion. Both long wave infrared (LWIR) imaging systems and LiDAR (time of flight) imaging systems using Azure Kinect, which c…