Heat Equation And Its Application On Image Processing

dc.contributor.advisorLemi Guta (PhD)
dc.contributor.authorDinku Degu
dc.date.accessioned2025-12-16T13:46:34Z
dc.date.issued2017-08
dc.description.abstractIn This Paper, I Tried To ???Nd The Solution Of Some Image Processing Problems. In Case, I Use Both Isotropic Di??��Usion And Gaussian Convolution For De-Noising Gray Scale Images. Nowadays There Are A Number Of Methods To Solve Digital Image Processing Problems Which Employ Mathematical Algorithms. Isotropic Di??��Usion Acting As A Linear ???Lter Is The Most Basic Approach To Regularize Or Smooth Image Data. However It Blurs ???Ne Details Of Images. For My Work I Am Interested In Isotropic Di??��Usion And The Convolution Of The Given Image With Gaussian Kernel At Speci???C Time. Experimental Result Shows That Both Approaches Generate Almost Similar Output.en_US
dc.description.sponsorshipASTUen_US
dc.identifier.urihttp://10.240.1.28:4000/handle/123456789/421
dc.language.isoenen_US
dc.titleHeat Equation And Its Application On Image Processingen_US
dc.typeThesisen_US

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