English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Discrete Osmosis Methods for Image Processing

Bozca, S. (2016). Discrete Osmosis Methods for Image Processing. Master Thesis, Universität des Saarlandes, Saarbrücken.

Item is

Files

show Files
hide Files
:
2016_MSc Thesis_SINAN_BOZCA.pdf (Any fulltext), 10MB
 
File Permalink:
-
Name:
2016_MSc Thesis_SINAN_BOZCA.pdf
Description:
-
OA-Status:
Visibility:
Restricted (Max Planck Institute for Informatics, MSIN; )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Bozca, Sinan1, Author           
Weickert, Joachim2, Advisor
Augustin, Matthias2, Referee
Affiliations:
1International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              
2Universität des Saarlandes, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Partial differential equations can model many physical phenomena and be used to simulate under computer. Osmosis, which is in the form of convection-diffusion equa- tion, has found itself many application areas in image processing. However, slow convergence of this model, which depends on incompatibility of the drift vector field used in the model, under current methods does not allow us to have a fast, and possibly real-time application area. Therefore, we get a deeper look into what incompatibility means and how it effects steady states of the osmosis process in this thesis. In addition, we evaluate several promising methods which offers substantial computational advantage over classical iterative methods.

Details

show
hide
Language(s): eng - English
 Dates: 2016-04-252016
 Publication Status: Issued
 Pages: 43 p.
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: BozcaMaster2016
 Degree: Master

Event

show

Legal Case

show

Project information

show

Source

show