Enhanced dark channel prior and transmission map estimation techniques for removing foreground dense haze on static image
Haze removal on a degraded image was the challenging task in image processing field. A reliable technique must be able to remove dense haze effects on the static image, in addition, improving the quality of the image. Hence, this research proposes the integration between the two enhanced techniques...
Saved in:
Main Author: | Nur Farhana Faisal |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2019
|
Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/41358/2/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/41358/1/FULLTEXT.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced dark channel prior and transmission map estimation techniques for removing foreground dense haze on static image
by: Nur Farhana Faisal
Published: (2011) -
Improved Precision Dense Descriptor-Based Matching For Large Displacement Flow
by: Eng, Wei Yong
Published: (2020) -
Development of a human fall detection system based on depth maps
by: Nizam, Yoosuf
Published: (2018) -
Integration of enhanced dictionary learning and magnitude computation techniques for removing rain streaks in digital image enhancement
by: Raima Hassim
Published: (2017) -
Gender Analysis Using Simplified Local Binary Pattern Features Under Uncontrolled Environment
by: Loo, Eng Keong
Published: (2021)