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Solar imaging and image processing : tolerance analysis of SUIT optics and implementation of different image processing approaches

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dc.contributor.author Chatterjee, Subhamoy
dc.date.accessioned 2020-11-27T01:09:01Z
dc.date.available 2020-11-27T01:09:01Z
dc.date.issued 2014-07
dc.identifier.citation M. Tech. Thesis, University of Calcutta, Calcutta en_US
dc.identifier.uri http://prints.iiap.res.in/handle/2248/7461
dc.description Thesis Supervisor Prof. Dipankar Banerjee © Indian Institute of Astrophysics en_US
dc.description.abstract Imaging sun in different wavelengths is invaluable for understanding its dynamic aspects and relevent impacts on space weather. The atmosphere of the Sun presents a number of puzzling physical phenomena of great importance. Processing of reconstructed solar images ensures meaningful visualization and provide additional informations. Imaging in particular wavelength band demands efficient imaging telescope with optimized parameters whereas appreciation of image requires study of features in different scales and their enhancement without introducing undesired artifacts. A proposal was submitted for a Solar Ultraviolet Imaging Telescope (SUIT) to ISRO to study the Sun in Near Ultraviolet Wavelengths (NUV, 200 – 400 nm). SUIT provides a new opportunity for imaging the Sun in NUV with apprecible image quality. This study addressed optimization of SUIT optics using suitable merit function and variables. It also includes simulation of image quality degradation due to geometry and alignment errors in optical surfaces. Appropriate compensator and its movement was found out for nullifying different errors in imaging optics both theoretically and through simulation revealing error bounds of individual parameters based on limit of merit function and restriction in compensator movements. Furthermore, Monte Carlo simulation has been performed to find worst fabrication and alignment error combination to confirm whether image degradation is acceptable. Thermal variation in space being an important factor to affect the image quality, temperature tolerance of the telescope system has also been explored. In the second part of this study multi-scale method such as wavelet has been used for visualization of fine structures in solar corona. Furthermore, active region and filament segmentation has been considered for solar full disc images enabling feature extraction of those regions namely area, centroid and slope which may be useful in studying time evolution of relevant solar features. Hence this study performs error budgeting of crucial parameters in solar NUV imaging telescope and illustrates relevant image processing techniques which can be embedded in the data pipeline. en_US
dc.language.iso en en_US
dc.publisher Indian Institute of Astrophysics en_US
dc.subject Solar imaging en_US
dc.subject UV en_US
dc.subject SUIT en_US
dc.subject Tolerance analysis en_US
dc.subject Monte Carlo simulation en_US
dc.subject Full disc image en_US
dc.subject Corona en_US
dc.subject Wavelet en_US
dc.subject Image enhancement en_US
dc.subject Region growing en_US
dc.subject Feature segmentation en_US
dc.title Solar imaging and image processing : tolerance analysis of SUIT optics and implementation of different image processing approaches en_US
dc.type Thesis en_US

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