Compressive spectral imaging with diffractive lenses

Download

index.pdf

Date

2019-09-15

Author

Kar, Oguzhan Fatih
Öktem, Sevinç Figen

Metadata

Show full item record

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

Item Usage Stats

309
views

156
downloads

Compressive spectral imaging enables the reconstruction of an entire 3D spectral cube from a few multiplexed images. Here we develop a novel compressive spectral imaging technique using diffractive lenses. Our technique uses a coded aperture to spatially modulate the optical field from the scene and a diffractive lens such as a photon sieve for both dispersion and focusing. Measurement diversity is achieved by changing the focusing behavior of the diffractive lens. The 3D spectral cube is then reconstructed from highly compressed measurements taken with a monochrome detector. A fast sparse recovery method is developed to solve this large-scale inverse problem. The performance is illustrated for various scenarios with different compression ratios through simulations. The results demonstrate that promising reconstruction performance can be achieved at high compression levels. This opens up new possibilities for high-resolution spectral imaging with simpler and low cost designs. (C) 2019 Optical Society of America

Subject Keywords

Atomic and Molecular Physics, and Optics

URI

https://hdl.handle.net/11511/45912

Journal

OPTICS LETTERS

DOI

https://doi.org/10.1364/ol.44.004582

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

Efficient computation of 2D point-spread functions for diffractive lenses Ayazgok, Suleyman; Öktem, Sevinç Figen (The Optical Society, 2020-01-10) Diffractive lenses, such as Fresnel zone plates, photon sieves, and their modified versions, have been of significant recent interest in high-resolution imaging applications. As the advent of diffractive lens systems with different configurations expands, the fast and accurate simulation of these systems becomes crucial for both the design and image reconstruction tasks. Here we present a fast and accurate method for computing the 2D point-spread function (PSF) of an arbitrary diffractive lens. The method i...
Object reconstruction from in-line Fresnel holograms without explicit depth focusing Ozgen, MT; Tuncer, Temel Engin (SPIE-Intl Soc Optical Eng, 2004-06-01) We propose two computational techniques for extracting object cross-sectional shape information from digitized in-line Fresnel holograms that do not require prior knowledge of object depths but recover relative depth information along the way. The first algorithm is applicable to hologram segments involving a single particle only. It is based on estimating Fourier transform magnitude and phase of the particle from those of the hologram segment. The second algorithm conducts a joint inverse filtering and dep...
Deep iterative reconstruction for phase retrieval Isil, Cagatay; Öktem, Sevinç Figen; Koc, Aykut (The Optical Society, 2019-07-10) The classical phase retrieval problem is the recovery of a constrained image from the magnitude of its Fourier transform. Although there are several well-known phase retrieval algorithms, including the hybrid input-output (HIO) method, the reconstruction performance is generally sensitive to initialization and measurement noise. Recently, deep neural networks (DNNs) have been shown to provide state-of-the-art performance in solving several inverse problems such as denoising, deconvolution, and superresoluti...
Effective bandwidth approach for the spectral splitting of solar spectrum using diffractive optical elements Yolalmaz, Alim; Yüce, Emre (The Optical Society, 2020-04-27) Spectral splitting of the sunlight using diffractive optical elements (DOEs) is an effective method to increase the efficiency of solar panels. Here, we design phase-only DOEs by using an iterative optimization algorithm to spectrally split and simultaneously concentrate solar spectrum. In our calculations, we take material dispersion into account as well as the normalized blackbody spectrum of the sunlight. The algorithm consists of the local search optimization and is strengthened with an outperforming lo...
Dispersive optical constants of Tl2InGaSe4 single crystals Qasrawi, A. F.; Hasanlı, Nızamı (IOP Publishing, 2007-09-01) The structural and optical properties of Bridgman method grown Tl2InGaSe4 crystals have been investigated by means of room temperature x-ray diffraction, and transmittance and reflectance spectral analysis, respectively. The x-ray diffraction technique has shown that Tl2InGaSe4 is a single phase crystal of a monoclinic unit cell that exhibits the lattice parameters of a = 0.77244 nm, b = 0.64945 nm, c = 0.92205 nm and beta = 95.03 degrees . The optical data have revealed an indirect allowed transition band ...

Citation Formats

O. F. Kar and S. F. Öktem, “Compressive spectral imaging with diffractive lenses,” OPTICS LETTERS, pp. 4582–4585, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/45912.