Agent bbased statistical approach for image inpainting with high fidelity

dc.contributor.guide	Agarwal, Arun and Rao, Raghavendra C
dc.coverage.spatial	Computer Science
dc.creator.researcher	Morusupalli, Raghava
dc.date.accessioned	2021-02-03T05:07:29Z
dc.date.available	2021-02-03T05:07:29Z
dc.date.awarded
dc.date.completed	2016
dc.date.registered
dc.description.abstract	file attached
dc.description.note	references p.144-154
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	154 p.
dc.identifier.uri	http://hdl.handle.net/10603/314132
dc.language	English
dc.publisher.institution	Department of Computer and Information Sciences
dc.publisher.place	Hyderabad
dc.publisher.university	University of Hyderabad
dc.relation	-
dc.rights	university
dc.source.inflibnet	INFLIBNET
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Information Systems
dc.subject.keyword	Digital images
dc.subject.keyword	Image preservation
dc.subject.keyword	Inpainting
dc.subject.keyword	Painting--Conservation and restoration
dc.title	Agent bbased statistical approach for image inpainting with high fidelity
dc.title.alternative	-
dc.type.degree	Ph.D.