Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41900
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nur Atiqah, Zakaria | - |
dc.date.accessioned | 2016-06-08T07:36:45Z | - |
dc.date.available | 2016-06-08T07:36:45Z | - |
dc.date.issued | 2015-06 | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41900 | - |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | Severe haze environment makes a problem to image scenery. In order to produce a high resolution of a haze-free image, filter is being utilized as a part of request to evacuate haze. Since filter is in the forefront of image processing for filtering, it is crucial to have a good understanding on the filtering algorithms. This paper develops and analyzes the performance of advance filters namely Mean filter, Median filter, Gaussian Filter and Laplacian filter. Four different advance filters are applied to various images with severe haze in it. Addition of enhancement technique is taken to achieve a high resolution image and hence, prove the best filtering process. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | Haze | en_US |
dc.subject | Severe haze environment | en_US |
dc.subject | Filter | en_US |
dc.subject | Advance filters -- Performance analysis | en_US |
dc.title | Development and performance analysis on advance filter design for severe haze environment | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Dr. Norsuhaida Ahmad | en_US |
dc.publisher.department | School of Computer and Communication Engineering | en_US |
Appears in Collections: | School of Computer and Communication Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Abstract,Acknowledgement.pdf | 273.6 kB | Adobe PDF | View/Open | |
Introduction.pdf | 186.2 kB | Adobe PDF | View/Open | |
Literature Review.pdf | 884.14 kB | Adobe PDF | View/Open | |
Methodology.pdf | 918.49 kB | Adobe PDF | View/Open | |
Results and Discussion.pdf | 1.25 MB | Adobe PDF | View/Open | |
Conclusion and Recommendation.pdf | 183.1 kB | Adobe PDF | View/Open | |
Refference and Appendics.pdf | 665.92 kB | Adobe PDF | View/Open |
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