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Constructing large transmission matrix of scat-tering sample based on super-resolution algo-rithm
2021
IEEE Access
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For multiframe-based methods, subpixel shifts between LR images are required. In this paper, we present a method for constructing a large TM of a scattering sample based on a multiframe SR algorithm. ...
Inspired by [29] , we propose an alternative method that is primarily based on a multiframe image super-resolution (SR) reconstruction algorithm. ...
doi:10.1109/access.2021.3071575
fatcat:cycs2cidpjcjfonrj7l5sgbu54
Exploration of ISAR Imaging Based on Compressed Sensing
2017
DEStech Transactions on Computer Science and Engineering
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The traditional compressed sensing ISAR imaging algorithm is based on row and column stacking, the image matrix is arranged as a long vector, and then a one-dimensional compressed sensing method is used ...
In addition, the traditional algorithm in the real domain, so in the processing of ISAR imaging data, need to complex measurement matrix diagonalization of real processing results such that the expected ...
The compressed sensing method can construct the target image using less original data, so ISAR imaging based on compressed sensing can not only solve the acquisition of large amounts of data to the system ...
doi:10.12783/dtcse/cece2017/14375
fatcat:iu4bak4cube2hhvdfvovajuxvi
High-Resolution Ultrasound Imaging Using Random Interference
2020
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
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In such a case, we can reconstruct high-resolution ultrasound images using a priori measurements of spatial impulse responses and the l1 norm minimization algorithm. ...
Spatial resolution in conventional sonography is achieved through focusing and steering of an ultrasound beam. ...
the transmission matrix G i depend on the position of the corresponding receiving element i . ...
doi:10.1109/tuffc.2020.2986588
pmid:32275590
fatcat:cwqzlhuvkbb5pd6557j7d5x4gu
Super-resolution ghost imaging via compressive sampling reconstruction
[article]
2009
arXiv
pre-print
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We report an image reconstruction algorithm called compressive sampling (CS) reconstruction to recover ghost images. ...
By CS reconstruction, ghost imaging with both super-resolution and a good signal-to-noise ratio can be obtained via short acquisition times. ...
One is that the best resolution of recovered images is determined by the size of the speckle placed on the object plane based on the previous experimental results [10, 15] . ...
arXiv:0910.4823v1
fatcat:r6qhbnsu65bnzi3wkhaxcpcpcu
Tracing multiple scattering trajectories for deep optical imaging in scattering media
[article]
2023
arXiv
pre-print
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Here, we propose a method that makes the deterministic use of multiple scattering for microscopic imaging of an object embedded deep within scattering media. ...
The proposed method finds a stack of multiple complex phase plates that generate similar light trajectories as the original scattering medium. ...
Then, we numerically generate the reflection matrix 𝑹 of the sample at a wavelength of 900 nm and an angular coverage of 1.0 NA based on Eq. (1). ...
arXiv:2302.09503v1
fatcat:uj4lftredza4jpnge7vmz6t644
A joint adaptive evolutionary model towards optical image contrast enhancement and geometrical reconstruction approach in underwater remote sensing
2019
SN Applied Sciences
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super resolution methods which result in significant enhancement of the image quality. ...
The bee colony algorithm and weighting coefficient in super resolution due to the lack of hybrid methods in visually improved water images has been the subject of recent researches. ...
ultimately super resolution to exclude the sample algorithm from other similar solutions. ...
doi:10.1007/s42452-019-1255-0
fatcat:rbcprsh65jdfxp4jd34lffqi6m
Random super-prism wavelength meter
2013
Optics Letters
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The method is based on the application of principal component analysis, which is used for pattern recognition and is applied here to the case of speckle pattern categorization. ...
Combining these approaches, we develop a method that uses a thin random scattering medium to measure the wavelength of a near-infrared laser beam with picometer resolution. ...
We have demonstrated the use of a simple random medium as a wavelength meter with picometer resolution, exploiting the large number of degrees of freedom associated with the light transmission through ...
doi:10.1364/ol.39.000096
pmid:24365831
fatcat:mrnhf4hjsndv7l76kynzdmpg7y
Super-resolution Orthogonal Deterministic Imaging Technique for Terahertz Subwavelength Microscopy
[article]
2019
arXiv
pre-print
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As our formulation is based on the equation of linear imaging and it uses spatial modulation of either the phase or the amplitude of the THz wave, our methodology can be readily adapted for the use with ...
In parallel, in the visible spectral range, several super-resolution imaging techniques were developed that enhance the image resolution by recording and statistically correlating multiple images of an ...
Naturally, one can construct higher order super-resolution schemes by using higher moments in the definition of the algorithm. ...
arXiv:1912.04704v1
fatcat:w4ker5fjzrejlemsa7qruni7di
Improved high-definition video by encoding at an intermediate resolution
2004
Visual Communications and Image Processing 2004
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This is particularly true at lower bit-rates, as direct encoding of the high-definition sequence requires a large number of blocks to be signaled. ...
We survey previous work that combines a resolution change and compression mechanism. We then illustrate the success of our proposed approach through simulations. ...
More sophisticated algorithms are necessary to addresses the general case of a non-invertible A. A second class of super-resolution methods relies on a Gaussian noise model to describe the encoder. ...
doi:10.1117/12.527616
dblp:conf/vcip/SegallEMWF04
fatcat:bslbu6zifrga3ls3yif2y5v4na
An Early Warning Intelligent Algorithm System for Forest Resource Management and Monitoring
2022
Computational Intelligence and Neuroscience
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This paper presents a remote sensing image classification method based on the combination of the SSIF algorithm and wavelet denoising. ...
The forest distribution map is generated by pixel level fusion algorithm, and the accuracy of the forest distribution map is evaluated by a confusion matrix. ...
super-resolution reconstruction based on the principle of sparse representation is to use the method based on sparse representation to obtain the relationship between images with different spatial resolutions ...
doi:10.1155/2022/4250462
pmid:36268147
pmcid:PMC9578854
fatcat:h2xvpyvjxrh27npywqtlfczrti
A Fast Image Deformity Correction Algorithm for Underwater Turbulent Image Distortion
2019
Sensors
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An algorithm correcting distortion based on estimating the pixel shift is proposed for the degradation caused by underwater turbulence. ...
A support vector machine-based kernel correlation filtering algorithm is proposed and applied to improve the speed and efficiency of the correction algorithm. ...
Therefore, the factors affecting the speed of the algorithm are determined by the constructed core matrix. ...
doi:10.3390/s19183818
pmid:31487831
pmcid:PMC6766914
fatcat:qtav2yoy7bbhpcun4kravcese4
Photoacoustics with coherent light
2016
Photoacoustics
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Illustration of photoacoustic-guided optical wavefront shaping based on the photoacoustic transmission matrix. ...
Several approaches have been investigated to implement optical wavefront shaping with strongly scattering media, based either on optimization or measurement of a transmission matrix, as discussed in the ...
doi:10.1016/j.pacs.2016.01.003
pmid:27069874
pmcid:PMC4811919
fatcat:pra4rqicajdy3muht4qpjacgt4
Non-labeled lensless micro-endoscopic approach for cellular imaging through highly scattering media
2017
Bioscience Reports
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Fast overlapping scans enlarge the region of interest, enhance signal to noise levels and can also accommodate post-processing, super-resolution algorithms. ...
We describe an imaging approach based on an optical setup made up of a miniature, lensless, minimally invasive endoscope scanning a sample and matching post processing techniques that enable enhanced imaging ...
After achieving an adequate signal to noise ratio, the target can then be recovered with enhanced resolution using geometrical super resolution methods (G-SR) [19] [20] [21] based on the scanning methodology ...
doi:10.1042/bsr20170027
pmid:29162669
pmcid:PMC5784180
fatcat:tjd7ok54brdfpfw4preb3uxwe4
Super-Resolution Channel Estimation for Arbitrary Arrays in Hybrid Millimeter-Wave Massive MIMO Systems
2019
IEEE Journal on Selected Topics in Signal Processing
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Theoretical results are provided on the fundamental limits of the proposed technique in terms of sample efficiency. ...
array domain with a desired uniform geometric structure to facilitate super-resolution angle estimation and channel acquisition. ...
scattering paths, which indicates the high performance of our proposed super-resolution 2D channel estimation technique. ...
doi:10.1109/jstsp.2019.2937632
fatcat:ru7yaagh65gl3h4f4b43gshama
Phantoms for performance assessment of optical coherence tomography systems
2012
Optical Diagnostics and Sensing XII: Toward Point-of-Care Diagnostics; and Design and Performance Validation of Phantoms Used in Conjunction with Optical Measurement of Tissue IV
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The phantoms are constructed to be used in the estimation of point spread function (PSF) of an optical coherence tomography (OCT) and evaluation of optical properties extraction (OPE) algorithm. ...
/ on 03/07/2013 Terms of Use: http://spiedl.org/terms Proc. of SPIE Vol. 8229 82290W-6 Downloaded From: http://proceedings.spiedigitallibrary.org/ on 03/07/2013 Terms of Use: http://spiedl.org/terms Proc ...
Adrian Bradu from the Applied Optics Group (AOG) of University of Kent for his valuable input. ...
doi:10.1117/12.912086
fatcat:vrf5hkzo6rg5xa5jg6agtbzxwq
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