Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Effect of different sparsity priors on compressive photon-sieve spectral imaging
Download
index.pdf
Date
2018-05-02
Author
Kar, Oguzhan Fatih
Öktem, Sevinç Figen
Kamaci, Ulas
Akyon, Fatih Cagatay
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
124
views
0
downloads
Cite This
Compressive spectral imaging is a rapidly growing area yielding higher performance novel spectral imagers than conventional ones. Inspired by compressed sensing theory, compressive spectral imagers aim to reconstruct the spectral images from compressive measurements using sparse signal recovery algorithms. In this paper, first, the image formation model and a sparsity-based reconstruction approach are presented for compressive photon-sieve spectral imager. Then the reconstruction performance of the approach is analyzed using different sparsity priors. In the system, a coded aperture is used for modulation and a photon-sieve for dispersion. In the measurements, coded and blurred images of spectral bands are superimposed. Simulation results show promising image reconstruction performance from these compressive measurements.
Subject Keywords
Spectral imaging
,
Compressed sensing
,
Inverse problems
,
Computational imaging
,
Sparsity prior
URI
https://hdl.handle.net/11511/46593
DOI
https://doi.org/10.1109/siu.2018.8404501
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
A Parametric Estimation Approach to Instantaneous Spectral Imaging
Öktem, Sevinç Figen; Davila, Joseph M (2014-12-01)
Spectral imaging, the simultaneous imaging and spectroscopy of a radiating scene, is a fundamental diagnostic technique in the physical sciences with widespread application. Due to the intrinsic limitation of two-dimensional (2D) detectors in capturing inherently three-dimensional (3D) data, spectral imaging techniques conventionally rely on a spatial or spectral scanning process, which renders them unsuitable for dynamic scenes. In this paper, we present a nonscanning (instantaneous) spectral imaging techn...
Computational Spectral Imaging with Photon Sieves
Öktem, Sevinç Figen; Davila, Joseph M. (2016-01-01)
Spectral imaging, the sensing of spatial information as a function of wavelength, is a widely used diagnostic technique in diverse fields such as physics, chemistry, biology, medicine, astronomy, and remote sensing. In this paper, we present a novel computational imaging modality that enables high-resolution spectral imaging by distributing the imaging task between a photon sieve system and a computer. The photon sieve system, coupled with a moving detector, provides measurements from multiple planes. Then ...
Anlık Spektral Görüntüleme için Tasarım Eniyileme
Ayazgök, Suleyman; Öktem, Sevinç Figen (2019-08-22)
Snapshot spectral imaging enables to reconstructspectral images from a multiplexed single-shot measurement.Since an inversion is required to form the spectral images com-putationally, quantitative characterization of their performanceis essential to optimize the design. In this paper, we analyze theoptimal design of a snapshot spectral imaging technique. Thissnapshot multi-spectral imaging technique uses a diffractive lenscalled generalized photon sieve, and vari...
Effect of Sn Alloying on the Diffusion Bonding Behavior of Al-Mg-Si Alloys
Atabay, SILA ECE; Esen, Ziya; Dericioğlu, Arcan Fehmi (2017-07-01)
Effect of Sn as an alloying element on the diffusion-bonding behavior of Al-Mg-Si alloy has been studied by means of differential scanning calorimetry (DSC), X-ray diffraction (XRD), scanning electron microscopy (SEM) and mechanical testing of the diffusion-bonded joint. XRD results revealed the formation of Mg2Sn and (Sn) phases during solidification following induction casting. DSC results showed local liquid (Sn) formation during the bonding process for Sn-containing alloys, where its amount was found to...
Effect of processing parameters on humidity sensing behavior of MgAl2O4 spinel ceramics
Cambaz, Zarife Göknur; Timuçin, Muharrem; Department of Metallurgical and Materials Engineering (2003)
An experimental study has been conducted in order to determine the effects of processing parameters on the humidity sensing characteristics of ceramic sensors produced from magnesium aluminate. MgAİ2Û4 powders were synthesized by the mixed oxide technique and by the citrate route in the laboratory. In some experiments, the powders were doped with Na+, Mn2+, or Ti4+ ions in order to modify the sintering and the response behavior of the spinel ceramics. The variations in electrical impedance were determined a...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
O. F. Kar, S. F. Öktem, U. Kamaci, and F. C. Akyon, “Effect of different sparsity priors on compressive photon-sieve spectral imaging,” 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46593.