Computational spectral imaging techniques using diffractive lenses and compressive sensing

Download

index.pdf

Date

2019

Author

Kar, Oğuzhan Fatih

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

301
views

232
downloads

Spectral imaging is a fundamental diagnostic technique in physical sciences with application in diverse fields such as physics, chemistry, biology, medicine, astronomy, and remote sensing. In this thesis, we first present a modified version of a high-resolution computational spectral imaging modality and develop a fast sparse recovery method to solve the associated large-scale inverse problems. This technique uses a diffractive lens called photon sieve for dispersing the optical field. We then extend this technique to obtain super-resolution using an additional coded aperture to spatially modulate the field before dispersion. We also demonstrate the capability of the system in a compressive setting where the entire three-dimensional spectral cube is reconstructed from highly compressed measurements through sparse recovery. In all of the imaging modalities, we numerically illustrate the performance for various settings and obtain promising results. Lastly, we provide a detailed analysis on the spatio-spectral resolution and optimization of the system from both analytical and numerical aspects.

Subject Keywords

Electronic surveillance, Electronic surveillance Technological innovations, Keywords: Diffractive lens, photon sieve, spectral imaging, sparsity, compressive sensing, inverse problems, super-resolution, image reconstruction

URI

http://etd.lib.metu.edu.tr/upload/12623490/index.pdf
https://hdl.handle.net/11511/43636

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

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 ...
Numerical and experimental evaluation of computational spectral imaging with photon sieves Alkanat, Tunç; Öktem, Sevinç Figen; Department of Electrical and Electronics Engineering (2016) Spectral imaging, the simultaneous imaging and spectroscopy of a radiating scene, is an important diagnostic tool for an expanding range of applications in physics, chemistry, biology, medicine, astronomy, and remote sensing. In this thesis, a recently developed computational imaging technique that enables high-resolution spectral imaging is studied both numerically and experimentally. This technique employs a diffractive imaging element called photon sieve, and distributes the image formation taskbetween t...
Deep CNN prior based image reconstruction for multispectral imaging Manisali, İrfan; Cam, Refik; Bezek, Can Deniz; Öktem, Sevinç Figen (IEEE; 2020-10-07) Spektral görüntüleme, fizik, kimya, biyoloji, tıp, astronomi ve uzaktan algılama gibi farklı alanlarda yaygın olarak kullanılan temel bir tanılayıcı tekniktir. Bu bildiride, hesaplamalı görüntüleme prensibine dayanan ve kırınımlı lens içeren birçoklu spektral görüntüleme tekniğine odaklanılmakta, bunun için evrişimsel sinir ağlarından yararlanan görüntü geriçatım yöntemi geliştirilmektedir. Sistemin elde ettiği ham verilerden spektral görüntülerin geriçatılması için, ters problem düzenlileştirme içeren bir ...
Engineering advanced polymeric surfaces for smart systems in biomedicine, biology, material science and nanotecnology: A cross-disciplinary approach of Biology, Chemistry and Physics (BIOPOLYSURF) Hasırcı, Vasıf Nejat(2008-9-30) The enormous potential of Biology in combination with Chemistry and Physics will lead to break-through advances in material science and to an abundant wealth of exploitable developments, Chemistry and Physics offer advanced tools for synthesis, characterization, theoretical understanding and manufacture of materials and devices, while Biology offer a window into the most sophisticated collection of functional nanostructures that exist. The inspiration searched in Nature will expand not only lo the use of th...
Absorbance Estimation and Gas Emissions Detection in Hyperspectral Imagery Başkurt, Nur Didem; Gur, Yusuf; Omruuzun, Fatih; Çetin, Yasemin (2016-05-19) Hyperspectral imaging in gas detection applications is a leading and widely studied research topic thanks to its high spectral resolution and remote detection ability. The main problems in these applications covers the leakage detection, gas identification, and quantification. The proposed algorithm aims to reach the transmittance and absorbance features of the gas and to detect the gaseous region by using the measured radiance data from the hyperspectral infrared sensors.

Citation Formats

O. F. Kar, “Computational spectral imaging techniques using diffractive lenses and compressive sensing,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Electrical and Electronics Engineering., Middle East Technical University, 2019.