Please use this identifier to cite or link to this item: http://dspace.dtu.ac.in:8080/jspui/handle/repository/13428
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPRAKASH, SOMENDRA-
dc.date.accessioned2011-03-16T11:53:29Z-
dc.date.available2011-03-16T11:53:29Z-
dc.date.issued2009-11-09-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/13428-
dc.descriptionME THESISen_US
dc.description.abstractVision in general and images in particular have always played an important and essential role in human life. The field of image processing has numerous commercial, scientific, industrial and military applications. One of the important issues is in image processing concern noise detection and reduction. Noise can occur in images because of several reasons, e.g. the circumstances of recording, the circumstances of transmission (damaged data), storage, copying, etc. Most common type of noise includes impulse noise (e.g. salt and pepper noise), additive noise (e.g. Gaussian noise) and multiplicative noise (e.g. speckle noise). The presence of noise can be very disturbing. Therefore the noise reduction is a well known problem in image processing. The reduction of noise in an image is a pre-processing step. Besides classical filter, fuzzy filter can be used to reduce the noise in an image; fuzzy filters use techniques from fuzzy set theory, and have the ability to incorporate the ...en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD 117;-
dc.subjectNoiseen_US
dc.subjectFuzzyen_US
dc.subjectFILTERen_US
dc.titleNOISE REDUCTION USING FUZZY FILTERen_US
Appears in Collections:M.E./M.Tech. Computer Technology & Applications

Files in This Item:
File Description SizeFormat 
thesis.pdf17.93 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.