Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/455456
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dc.date.accessioned2023-01-31T06:47:45Z-
dc.date.available2023-01-31T06:47:45Z-
dc.identifier.urihttp://hdl.handle.net/10603/455456-
dc.description.abstractThe key interest of this thesis is to develop random valued impulse noise reduction methods for digital color images. The conventionally used vector median and directional the most essential pixels at right angles to the test pixel. This approach overcomesthe problem of color artifacts arising due to joint processing of pixels.As a result of the correlation maintaining characteristic of these filters, the smoothing applied to one colour component smears into the others, creatingcolour artefacts inside the test pixel. This thesis presents a unique approachfor separating the joint vector pixels and performing median filtering on just filters process the pixel vector jointly in the red,green and blue intensities of a centre test pixel in a chosen window of pixels. newline newline
dc.format.extent286
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleNovel filtering methods to improve noise Reduction in digital color images
dc.title.alternative
dc.creator.researcherChukka Demudu Naidu
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideS Pallam Setty and M James Stephen
dc.publisher.placeVishakhapatnam
dc.publisher.universityAndhra University
dc.publisher.institutionDepartment of Computer Science and Systems Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science & Systems Engineering

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01_title.pdfAttached File158.15 kBAdobe PDFView/Open
02_prelim pages.pdf240.91 kBAdobe PDFView/Open
03_content.pdf161.85 kBAdobe PDFView/Open
04_abstract.pdf133.37 kBAdobe PDFView/Open
05_chapter 1.pdf330.1 kBAdobe PDFView/Open
06_chapter 2.pdf303.16 kBAdobe PDFView/Open
07_chapter 3.pdf402.7 kBAdobe PDFView/Open
08_chapter 4.pdf460.74 kBAdobe PDFView/Open
09_chapter 5.pdf1.03 MBAdobe PDFView/Open
10_annexures.pdf496.33 kBAdobe PDFView/Open
80_recommendation.pdf1.18 MBAdobe PDFView/Open


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