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dc.contributor.advisorKrishnamurthy, E V
dc.contributor.authorSwarnalatha Prabhu, S
dc.date.accessioned2025-11-06T06:38:26Z
dc.date.available2025-11-06T06:38:26Z
dc.date.submitted1975
dc.identifier.urihttps://etd.iisc.ac.in/handle/2005/7329
dc.description.abstractIn this dissertation we consider certain alternative procedures, viz., the g-inverse method as well as an iterative technique based on probabilistic estimation for the reconstruction of objects from their projections. Examples of test pictures reconstructed using the above techniques a]?e provided. A comparative study of these reconstruction techniques with the existing well-known direct and iterative techniques is given 4 in brief. Finally, the similarity "between the image reconstiruction problem and the image restoration problem is established. Image restoration consists in the removal of noise and blur from a degraded transmitted picture. It is shown how the image reconstruction techniques can be extended to the restoration of blurred pictures
dc.language.isoen_US
dc.relation.ispartofseriesT01240
dc.rightsI grant Indian Institute of Science the right to archive and to make available my thesis or dissertation in whole or in part in all forms of media, now hereafter known. I retain all proprietary rights, such as patent rights. I also retain the right to use in future works (such as articles or books) all or part of this thesis or dissertation
dc.subjectBinary pictures
dc.subjectKalman filtering
dc.subjectMoore-Penrose inverse
dc.titleNumerical Techniques for reconstruction of objects from projections
dc.typeThesis
dc.degree.namePhD
dc.degree.levelDoctoral
dc.degree.grantorIndian Institute of Science
dc.degree.disciplineScience


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