DWT-SVD Based robust digital image watermarking using adaptive median filter

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dc.contributor.authorKumar, Ashok
dc.contributor.supervisorBrar, Sukhreet Singh
dc.date.accessioned2018-08-31T04:13:41Z
dc.date.accessioned2024-08-14T05:02:54Z
dc.date.available2018-08-31T04:13:41Z
dc.date.available2024-08-14T05:02:54Z
dc.date.issued2013
dc.description.abstractFeature Matching is one of the central issues of model-based recognition and an important component of most object recognition systems. The feature matching technique can be applied in image alignment, 3D secure reconstruction, motion tracking, object recognition and in pharmacophore based molecular alignment. Even though numerous algorithms exist for feature recognition and search yet the efficiency of these have considerable room for improvement. This has necessitated a continuous search for better performing algorithms. The combination of geometric hashing technique and tolerance limits for a given set of known interactions can be used for the pharmacophore modelling based search. The algorithm proposed is precise as compared with the previous existing algorithms. This algorithm is better in its runtime complexity.en_US
dc.identifier.accessionnoT00244
dc.identifier.citationKumar, Ashok (2013) DWT-SVD Based robust digital image watermarking using adaptive median filt.en_US
dc.identifier.urihttp://10.2.3.109/handle/32116/1848
dc.language.isoen_USen_US
dc.publisherCentral University of Punjaben_US
dc.subjectFeature Matchingen_US
dc.subjectPharmacophoreen_US
dc.subjectSmilesen_US
dc.subjectUcken_US
dc.titleDWT-SVD Based robust digital image watermarking using adaptive median filteren_US
dc.typeMaster Dissertationen_US

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