Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/339429
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dc.coverage.spatialFpga design of image denoising filters for image enhancement applications
dc.date.accessioned2021-09-07T08:36:44Z-
dc.date.available2021-09-07T08:36:44Z-
dc.identifier.urihttp://hdl.handle.net/10603/339429-
dc.description.abstractIn the process of image acquisition and transmission, image can be corrupted by various noises. Removing noise from the original image is still a challenging job for researchers. Image denoising technique is used to improve the visual appearance of the image and to extract the fine details in the corrupted image. The purpose of image restoration is to process an image whereby the resulting output image will be clearer than the original image. The field of image processing is vast. The image filtering is one of the areas in Image processing. The problem of removing the noise of an image while preserving its main features (edges, textures and contrast) has been extensively investigated over the last two decades and several types of approaches have been developed. A significant conventional image de-noising model is utilized to evacuate commotion while protecting the edges. This research presents the results of some significant work in the area of image denoising. It explores denoising of images using some existing methods such as SEPD (Simple Edge Preserved De-noising) technique and RSEPD (Reduced Simple Edge Preserved De-noising) technique. To obtain significant results various filters have been proposed. The filters which are most suitable for denoising are Edge Oriented Noise Filter in Low Cost Reduced Simple Edge Preserved De-noising (LCRSEPD) technique and FPGA Implementation of Multiresolution Flexible Averaging Filter (FAF). This research presents the removal of impulse noise in digital images by using Very Large-Scale Integrated circuit (VLSI) implementation. The Low Cost Reduced Simple Edge Preserved De-noising (LCRSEPD) technique is proposed using Low Area Carry Select Adder (CSLA) to remove the salt and pepper noise instead of normal adder. Thus, LCRSEPD technique preserves visual performance and edge features in terms of qualitative and quantitative evaluation. By optimizing the architecture, low cost RSEPD can achieve low computational complexity that will reflect in area, power and delay. Compared to
dc.format.extentxvi,125 p.
dc.languageEnglish
dc.relationp.118-124
dc.rightsuniversity
dc.titleFpga design of image denoising filters for image enhancement applications
dc.title.alternative
dc.creator.researcherBOMMY, B
dc.subject.keywordFpga design
dc.subject.keywordImage denoising filters
dc.subject.keywordImage processing
dc.description.note
dc.contributor.guideAlbert Raj, A
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registeredn.d.
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificates.pdf276.98 kBAdobe PDFView/Open
03_vivaproceedings.pdf510.92 kBAdobe PDFView/Open
04_bonafidecertificate.pdf366.78 kBAdobe PDFView/Open
05_abstracts.pdf18.58 kBAdobe PDFView/Open
06_acknowledgements.pdf631.89 kBAdobe PDFView/Open
07_contents.pdf20.78 kBAdobe PDFView/Open
08_listoftables.pdf15.34 kBAdobe PDFView/Open
09_listoffigures.pdf136.62 kBAdobe PDFView/Open
10_listofabbreviations.pdf43.36 kBAdobe PDFView/Open
11_chapter1.pdf285.37 kBAdobe PDFView/Open
12_chapter2.pdf155.23 kBAdobe PDFView/Open
13_chapter3.pdf761.99 kBAdobe PDFView/Open
14_chapter4.pdf336.76 kBAdobe PDFView/Open
15_chapter5.pdf524.27 kBAdobe PDFView/Open
16_conclusion.pdf73.08 kBAdobe PDFView/Open
17_references.pdf106.7 kBAdobe PDFView/Open
18_listofpublications.pdf66.71 kBAdobe PDFView/Open
80_recommendation.pdf82.03 kBAdobe PDFView/Open


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