Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/5948
Title: | An empirical study of machine learning techniques applied to image watermarking |
Author: | Bronet Campos, Jose Ramon |
Tutor: | Masip Rodó, David |
Others: | Universitat Oberta de Catalunya |
Abstract: | A study of how the machine learning technique, known as gentleboost, could improve different digital watermarking methods such as LSB, DWT, DCT2 and Histogram shifting. |
Keywords: | watermarking gentleboost |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 21-Jan-2011 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
jrbronetTFM0210.pdf | Artículo de investigación | 1,03 MB | Adobe PDF | View/Open |
Share:
This item is licensed under a Creative Commons License