scholarly journals Single-shot super-resolution phase imaging by wavefront separation approach

2021 ◽  
Author(s):  
Péter Kocsis ◽  
Igor Shevkunov ◽  
Vladimir Katkovnik ◽  
Heikki Rekola ◽  
Karen Egiazarian
Keyword(s):  
Super Resolution ◽  
Phase Imaging ◽  
Single Shot

Enhancement of single-shot lensless super-resolution phase imaging by preliminary observations

2021 ◽  
Author(s):  
Péter Kocsis ◽  
Igor Shevkunov ◽  
Vladimir Katkovnik ◽  
Karen Egiazarian
Keyword(s):  
Super Resolution ◽  
Phase Imaging ◽  
Single Shot

scholarly journals Mosaic Super-resolution via Sequential Feature Pyramid Networks

2019 ◽  
Author(s):  
Mehrdad Shoeiby ◽  
Mohammad Ali Armin ◽  
Sadegh Aliakbarian ◽  
Saeed Anwar ◽  
Lars petersson
Keyword(s):  
State Of The Art ◽  
Super Resolution ◽  
Autonomous Driving ◽  
Single Shot ◽  
Current State ◽  
Wide Range ◽  
Feature Pyramid ◽  
Novel Method ◽  
Convolutional Lstm ◽  
Mosaic Images

<div>Advances in the design of multi-spectral cameras have</div><div>led to great interests in a wide range of applications, from</div><div>astronomy to autonomous driving. However, such cameras</div><div>inherently suffer from a trade-off between the spatial and</div><div>spectral resolution. In this paper, we propose to address</div><div>this limitation by introducing a novel method to carry out</div><div>super-resolution on raw mosaic images, multi-spectral or</div><div>RGB Bayer, captured by modern real-time single-shot mo-</div><div>saic sensors. To this end, we design a deep super-resolution</div><div>architecture that benefits from a sequential feature pyramid</div><div>along the depth of the network. This, in fact, is achieved</div><div>by utilizing a convolutional LSTM (ConvLSTM) to learn the</div><div>inter-dependencies between features at different receptive</div><div>fields. Additionally, by investigating the effect of different</div><div>attention mechanisms in our framework, we show that a</div><div>ConvLSTM inspired module is able to provide superior at-</div><div>tention in our context. Our extensive experiments and anal-</div><div>yses evidence that our approach yields significant super-</div><div>resolution quality, outperforming current state-of-the-art</div><div>mosaic super-resolution methods on both Bayer and multi-</div><div>spectral images. Additionally, to the best of our knowledge,</div><div>our method is the first specialized method to super-resolve</div><div>mosaic images, whether it be multi-spectral or Bayer.</div><div><br></div>

scholarly journals Single-Element Reflective Digital Holographic Microscopy

2021 ◽  
Vol 9 ◽  
Author(s):  
José Ángel Picazo-Bueno ◽  
Javier García ◽  
Vicente Micó
Keyword(s):  
Low Cost ◽  
Digital Holographic Microscopy ◽  
Single Element ◽  
Phase Imaging ◽  
Single Shot ◽  
One Dimensional ◽  
Common Path ◽  
Microscopy Technique ◽  
Digital Holograms ◽  
Holographic Microscopy

Digital holographic microscopy (DHM) is a well-known microscopy technique using an interferometric architecture for quantitative phase imaging (QPI) and it has been already implemented utilizing a large number of interferometers. Among them, single-element interferometers are of particular interest due to its simplicity, stability, and low cost. Here, we present an extremely simple common-path interferometric layout based on the use of a single one-dimensional diffraction grating for both illuminating the sample in reflection and generating the digital holograms. The technique, named single-element reflective digital holographic microscopy (SER-DHM), enables QPI and topography analysis of reflective/opaque objects using a single-shot operation principle. SER-DHM is experimentally validated involving different reflective samples.

Super-resolution quantitative phase imaging of out-of-focus images based on deep learning

2021 ◽  
Author(s):  
Xin Qian ◽  
Hao Ding ◽  
Fajing Li ◽  
Shouping Nie ◽  
Caojin Yuan ◽  
...  
Keyword(s):  
Deep Learning ◽  
Super Resolution ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase

scholarly journals Single-shot and single-sensor high/super-resolution microwave imaging based on metasurface

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Libo Wang ◽  
Lianlin Li ◽  
Yunbo Li ◽  
Hao Chi Zhang ◽  
Tie Jun Cui
Keyword(s):  
Super Resolution ◽  
Microwave Imaging ◽  
Single Shot ◽  
Single Sensor

Quantitative phase imaging with single shot digital holography

2014 ◽  
Vol 319 ◽  
pp. 85-89 ◽  
Author(s):  
P.T. Samsheerali ◽  
Kedar Khare ◽  
Joby Joseph
Keyword(s):  
Digital Holography ◽  
Phase Imaging ◽  
Single Shot ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase

scholarly journals Single-shot phase imaging with randomized light (SPIRaL)

2016 ◽  
Vol 24 (4) ◽  
pp. 3765 ◽  
Author(s):  
Ryoichi Horisaki ◽  
Riki Egami ◽  
Jun Tanida
Keyword(s):  
Phase Imaging ◽  
Single Shot
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