Learning-based nonparametric autofocusing for digital holography
In digital holography, it is crucial to extract the object distance from a hologram in order to
reconstruct its amplitude and phase. This is known as autofocusing, which is conventionally …
reconstruct its amplitude and phase. This is known as autofocusing, which is conventionally …
[图书][B] Computer Holography: Acceleration Algorithms and Hardware Implementations
T Shimobaba, T Ito - 2019 - taylorfrancis.com
This book describes algorithms and hardware implementations of computer holography,
especially in terms of fast calculation. It summarizes the basics of holography and computer …
especially in terms of fast calculation. It summarizes the basics of holography and computer …
Convolutional neural network-based regression for depth prediction in digital holography
Digital holography enables us to reconstruct objects in three-dimensional space from
holograms captured by an imaging device. For the reconstruction, we need to know the …
holograms captured by an imaging device. For the reconstruction, we need to know the …
Autofocusing in digital holography using deep learning
In digital holography, it is critical to know the distance in order to reconstruct the multi-
sectional object. This autofocusing is traditionally solved by reconstructing a stack of in-focus …
sectional object. This autofocusing is traditionally solved by reconstructing a stack of in-focus …
Study of an image autofocus method based on power threshold function wavelet reconstruction and a quality evaluation algorithm
Z Yan, G Chen, W Xu, C Yang, Y Lu - Applied optics, 2018 - opg.optica.org
As a key component in optical microscopy imaging systems, autofocus technology has a
significant effect on imaging quality. In this paper, an optical microscopy autofocus method …
significant effect on imaging quality. In this paper, an optical microscopy autofocus method …
Extended focused imaging and depth map reconstruction in optical scanning holography
In conventional microscopy, specimens lying within the depth of field are clearly recorded
whereas other parts are blurry. Although digital holographic microscopy allows post …
whereas other parts are blurry. Although digital holographic microscopy allows post …
Acceleration of autofocusing with improved edge extraction using structure tensor and Schatten norm
Determining the optimal focal plane amongst a stack of blurred images in a short response
time is a non-trivial task in optical imaging like microscopy and photography. An …
time is a non-trivial task in optical imaging like microscopy and photography. An …
Enhanced autofocusing in optical scanning holography based on hologram decomposition
Optical scanning holography is a compact and powerful method for capturing hologram of a
wide three-dimensional (3-D) view scene. After a hologram has been taken, it is often …
wide three-dimensional (3-D) view scene. After a hologram has been taken, it is often …
Multi-object reconstruction of plankton digital holograms
W Hu, X Yang, N Wang, X Zhang, Y Cui, J Yu… - Multimedia Tools and …, 2024 - Springer
Plankton is the base of the ocean ecosystem and is very sensitive to changes in their
environment. Thus, monitoring the status of plankton in-situ has incredible importance for …
environment. Thus, monitoring the status of plankton in-situ has incredible importance for …
Enhanced autofocusing scheme in digital holography based on hologram decomposition
J Shuming, PWM Tsang - 2016 IEEE 14th International …, 2016 - ieeexplore.ieee.org
In digital holography, it is necessary to identify the focal plane distances automatically for a
hologram containing information of multiple object depth sections. This paper points out the …
hologram containing information of multiple object depth sections. This paper points out the …