Javascript must be enabled for the correct page display

Adaptive Unsharp Masking for Image Enhancement

De Jonge, Rick (2018) Adaptive Unsharp Masking for Image Enhancement. Bachelor's Thesis, Computing Science.


Download (13MB) | Preview
[img] Text
Restricted to Registered users only

Download (94kB)


This thesis will start with exploring the traditional method of Unsharp Masking. Next, it will discuss a few improvements of the traditional method that can be found in the literature. After these discussions, comparisons will be made between the results of those algorithms to the results of my own adaptations of these methods using a basic image. The algorithms with the best results will then be tested on a few more relevant images. Finally, a small comparison will be made between these results and the results from a program called ImPPG, that has a build-in version of Unsharp Masking. Concluding, there will be a section that explains which results failed, were successful and which particular method looked most promising. The main question this thesis will be answering is: ”In what ways can the Unsharp Masking image sharpening method be improved upon?”

Item Type: Thesis (Bachelor's Thesis)
Supervisor name: Wilkinson, M.H.F.
Degree programme: Computing Science
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 19 Jul 2018
Last Modified: 25 Jul 2018 11:19

Actions (login required)

View Item View Item