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DC Field | Value | Language |
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dc.contributor.author | NUKALA, KRISHNA KUMAR YADAV | - |
dc.date.accessioned | 2011-03-16T11:54:10Z | - |
dc.date.available | 2011-03-16T11:54:10Z | - |
dc.date.issued | 2007-07-20 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/13432 | - |
dc.description | ME THESIS | en_US |
dc.description.abstract | IMAGE enhancement can be treated as transforming one image to another so that the look and feel of an image can be improved for machine analysis or visual perception of human beings. It is a task in which the set of pixel values of one image is transformed to a new set of pixel values so that the new image formed is visually pleasing and is also more suitable for analysis. The generalization of the techniques of grey scale image enhancement, such as contrast stretching, slicing, histogram equalization, to color images is not straight forward. Unlike grey scale images, there are some factors in color images like hue which need to be properly taken care of it for enhancement. Color image enhancement using RGB color space is found to be inappropriate as it destroys the color composition in the original image. It is also used for low level vision applications. However, generalizing grayscale image enhancement to color image enhancement is not a trivial task. Several factors, such as selec... | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TD331;78 | - |
dc.subject | OPTIMAL | en_US |
dc.subject | FUZZY APPROACH | en_US |
dc.subject | IMAGE | en_US |
dc.title | A NEW OPTIMAL FUZZY APPROACH TO HUE AND EDGE PRESERVING COLOR IMAGE ENHANCEMENT | en_US |
Appears in Collections: | M.E./M.Tech. Electronics & Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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Major+thesis+krishna+report.pdf | 2.64 MB | Adobe PDF | View/Open |
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