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DC Field | Value | Language |
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dc.contributor.author | DAYAL, MAHIMA | - |
dc.date.accessioned | 2016-08-17T06:24:10Z | - |
dc.date.available | 2016-08-17T06:24:10Z | - |
dc.date.issued | 2016-08 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/15036 | - |
dc.description.abstract | Image enhancement is the process of applying transformation on a digital image to get a better picture. As such there is no way to measure the enhancement of an image except the human perception, however a certain characteristics are used t o determine whether the image is suitable for a particular application. Gaussian mixture model based contrast enhancement serves as a powerful algorithm for image enhancement. The main idea behind the algorithm is to estimate a Gaussian mixture model from the image histogram. . It consists of three phases- First to estimate the Gaussian parameters by using previously mentioned methods and obtain mean, Gaussian boundary , variance and scaling factor. In the second phase, the gamma is calculated using the these parameters for each Gaussian territory. Finally, the calculated gamma is applied through an intensity transformation. | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | TD NO.2305; | - |
dc.subject | GAUSSIAN MIXTURE | en_US |
dc.subject | CONTRAST ENHANCEMENT | en_US |
dc.subject | TRANSFORMATION | en_US |
dc.title | GAUSSIAN MIXTURE MODEL BASED CONTRAST ENHANCEMENT | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.E./M.Tech. Computer Engineering |
Files in This Item:
File | Description | Size | Format | |
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MahimaThesis.pdf | 872.41 kB | Adobe PDF | View/Open |
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