Convolutional Neural Network Based Image Restoration for Additive White Gaussian Noise and Multiplicative Speckle Noise

dc.contributor.guideMaji, Suman Kumar
dc.coverage.spatial
dc.creator.researcherThakur, Ramesh Kumar
dc.date.accessioned2025-01-07T08:40:02Z
dc.date.available2025-01-07T08:40:02Z
dc.date.awarded2023
dc.date.completed2023
dc.date.registered2017
dc.description.abstractThe extensive research presented in this thesis, carried out over nearly five years, reflects newlinethe collaborative efforts of numerous individuals, both directly and indirectly involved. It newlinebrings me great joy to acknowledge these individuals, without whom the accomplishment newlineof this work would not have been conceivable. I am compelled to express my profound newlinegratitude to my supervisor, Dr. Suman Kumar Maji, whose consistent critical evaluation newlineof my work and esteemed guidance throughout my PhD journey were indispensable. His newlinekeen insights into the technical aspects greatly contributed to the meticulous organization newlineof my research. On numerous occasions, his support helped me maintain equilibrium newlineduring the challenges faced along this expedition. newlineMy doctoral committee members, including Prof. Rajiv Misra (chairman), Dr. Arijit newlineMondal, and Dr. Yogesh Mani Tripathi, provided invaluable suggestions during seminars. newlineTheir technical inputs, conveyed through comments, significantly aided in identifying the newlineweak facets of my work and incorporating improvements into the final version. I extend newlinemy appreciation to Prof. Rajiv Misra for chairing my doctoral committee proceedings. newlineCollectively, I am deeply grateful to all committee members for their involvement in managing newlineadministrative aspects associated with my seminars whenever required. newlineA conducive academic environment is pivotal in fostering a sense of responsibility and newlinegenerating research outcomes beneficial to society. The vibrant academic milieu of IIT newlinePatna and the research community within the Department of Computer Science and Engineering newlinecontributed immensely. Organized sessions on the latest advancements in various newlinetechnical and non-technical domains, as well as brainstorming sessions with fellow PhD newlinescholars, played a pivotal role in refining my expertise within my research field. These newlineinfluences have undoubtedly left a positive imprint on the final results of my work. newlineBeyond the realm of technical expertise, this account would be incomplete without acknowledgin
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extentxxxii, 145p.
dc.identifier.urihttp://hdl.handle.net/10603/612460
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.publisher.placePatna
dc.publisher.universityIndian Institute of Technology Patna
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.titleConvolutional Neural Network Based Image Restoration for Additive White Gaussian Noise and Multiplicative Speckle Noise
dc.title.alternative
dc.type.degreePh.D.

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