Image restoration for sparse aperture optical systems

Date

2018-07-05

Author

Iskender, Berk
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

133
views

0
downloads

Sparse aperture imaging systems offer high spatial resolution while keeping the total light collection area smaller compared to their fully filled (monolithic) versions. Such systems are of interest in remote sensing and medicine applications where the size, weight, and cost of the imaging system are important. However, these systems often suffer from low image quality resulting from the non-filled sparse aperture structure. In this work, total-variation based image restoration is used to improve the image quality of sparse aperture optical systems. To analyze the performance of image restoration, various periodic subaperture configurations are considered and comparison is also performed with classical Wiener filter. Numerical results demonstrate that sparse aperture imaging systems used with totalvariation based image restoration can achieve similar resolution and image quality as with the equivalent fully filled aperture system.

Subject Keywords

Optical imaging, Image restoration, Deconvolution, Inverse problems, Sparse aperture systems

URI

https://hdl.handle.net/11511/38276

DOI

https://doi.org/10.1109/siu.2018.8404841

Conference Name

26th IEEE Signal Processing and Communications Applications Conference (SIU)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Image Reconstruction and Optimization Using a Terahertz Scanned Imaging System Yildirim, Ihsan Ozan; ÖZKAN, VEDAT ALİ; Idikut, Firat; Takan, Taylan; ŞAHİN, ASAF BEHZAT; Altan, Hakan (2014-09-23) Due to the limited number of array detection architectures in the millimeter wave to terahertz region of the electromagnetic spectrum, imaging schemes with scan architectures are typically employed. In these con fi gurations the interplay between the frequencies used to illuminate the scene and the optics used play an important role in the quality of the formed image. Using a multiplied Schottky-diode based terahertz transceiver operating at 340 GHz, in a stand-o ff detection scheme; the e ff ect of image q...
DEEP LEARNING-BASED UNROLLED RECONSTRUCTION METHODS FOR COMPUTATIONAL IMAGING Bezek, Can Deniz; Öktem, Sevinç Figen; Department of Electrical and Electronics Engineering (2021-9-08) Computational imaging is the process of forming images from indirect measurements using computation. In this thesis, we develop deep learning-based unrolled reconstruction methods for various computational imaging modalities. Firstly, we develop two deep learning-based reconstruction methods for diffractive multi-spectral imaging. The first approach is based on plug-and-play regularization with deep denoisers whereas the second one is an end-to-end learned reconstruction based on unrolling. Secondly, we con...
Ghost Removal in High Dynamic Range Images Khan, Erum Arif; Akyüz, Ahmet Oğuz; Reinhard, Erik (2006-10-11) High dynamic range images may be created by capturing multiple images of a scene with varying exposures. Images created in this manner are prone to ghosting artifacts, which appear if there is movement in the scene at the time of capture. This paper describes a novel approach to removing ghosting artifacts from high dynamic range images, without the need for explicit object detection and motion estimation. Weights are computed iteratively and then applied to pixels to determine their contribution to the fin...
Image formation model for photon sieves Öktem, Sevinç Figen; Kamalabadi, Farzad (2013-09-15) A photon sieve, modification of a Fresnel zone plate, has been recently proposed to achieve higher resolution imaging and spectroscopy at UV and x-ray wavelengths. In this paper, we present Fresnel imaging formulas that relate the output of a photon sieve imaging system to its input, originating from either a coherent or incoherent extended source. By using a well-known model for the zone plate, we also provide approximations to these imaging formulas, which are more efficient to compute. These imaging rela...
Image fusion for improving spatial resolution of multispectral satellite images Ünlüsoy, Deniz; Süzen, Mehmet Lütfi; Department of Geological Engineering (2013) In this study, four different image fusion techniques have been applied to high spectral and low spatial resolution satellite images with high spatial and low spectral resolution images to obtain fused images with increased spatial resolution, while preserving spectral information as much as possible. These techniques are intensity-hue-saturation (IHS) transform, principle component analysis (PCA), Brovey transform (BT), and Wavelet transform (WT) image fusion. Images used in the study belong to Çankırı reg...

Citation Formats

B. Iskender and S. F. Öktem, “Image restoration for sparse aperture optical systems,” presented at the 26th IEEE Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38276.