Motion blurred Atomic-Oxygen-Airglow image recovery pipeline for the VIOLET CubeSat Mission

dc.contributor.advisorPetersen, Brent R.
dc.contributor.authorVoisine, Alex L.
dc.date.accessioned2023-09-08T19:00:03Z
dc.date.available2023-09-08T19:00:03Z
dc.date.issued2022-04
dc.description.abstractThe Spectral Airglow Structure Imager (SASI) is a mission on CubeSat NB’s VIOLET. Its purpose is to image the 630 nm redline atomic oxygen airglow layer in the ionosphere which is present between the altitudes of 200-300 km. The image acquisition conditions of VIOLET make it susceptible to significant degradation due to rotational and translational blurring. An image recovery pipeline by ring extraction and linearization using Richardson-Lucy and Wiener methods for egomotion blurring is presented to mitigate its effects. Boundary conditions for pre-processing to handle corner degradation due to the nature of rotational blurring are discussed. Interpolation by means of nearest neighbor, splicing and specific pixel deconvolutions are also discussed to increase image quality after deconvolution. Results show effective deconvolution of both rotationally blurred and egomotion blurred redline ionosphere images, resulting in significant improvements on Structural Similarity indices (SSIM) across the expected range of blurring for the SASI subsystem.
dc.description.copyright© Alex L. Voisine, 2022
dc.format.extentxvi, 95
dc.format.mediumelectronic
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/37359
dc.language.isoen
dc.publisherUniversity of New Brunswick
dc.relationNew Brunswick Innovation Foundation
dc.relationCanadian CubeSat Project
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineElectrical and Computer Engineering
dc.titleMotion blurred Atomic-Oxygen-Airglow image recovery pipeline for the VIOLET CubeSat Mission
dc.typemaster thesis
oaire.license.conditionother
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.Sc.E.

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