Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/13868
Title: Reversible watermarking using the human visual system
Authors: MOHAMMAD AWRANGJEB
Keywords: reversible, lossless, erasable, distortion-free, invertible, watermarking
Issue Date: 18-Mar-2004
Source: MOHAMMAD AWRANGJEB (2004-03-18). Reversible watermarking using the human visual system. ScholarBank@NUS Repository.
Abstract: Reversible watermarking for multimedia content (like image data) authentication has become an active area of research in last few years. High embedding capacity and perceptually invisible distortions are the key requirements of reversible watermarking techniques. The human visual system (HVS) properties can be exploited for concealing the distortions in the watermarked image while we attempt to increase the embedding capacity as much as possible. Three reversible watermarking algorithms have been proposed based on the HVS. The first proposed algorithm is an implementation of our theoretical capacity bound. The second algorithm is particularly suited for highly textured images and third algorithm is for all types of images. The third algorithm offers better performance than the first and second ones. The experimental results demonstrate the superiority of the proposed algorithms with respect to the existing algorithms. A new variation of the reversible watermarking technique a?? incremental watermarking a?? has also been introduced. This variation is specially helpful for reversible embedding of visual marks and in certain reversible geometric operations such as zooming.
URI: http://scholarbank.nus.edu.sg/handle/10635/13868
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
01_Title.pdf10.49 kBAdobe PDF

OPEN

NoneView/Download
02_Acknowledgements.pdf10.13 kBAdobe PDF

OPEN

NoneView/Download
03_Table_of_Contents.pdf74.51 kBAdobe PDF

OPEN

NoneView/Download
04_Summary.pdf17.13 kBAdobe PDF

OPEN

NoneView/Download
05_List_of_Tables.pdf18.57 kBAdobe PDF

OPEN

NoneView/Download
06_List_of_Figures.pdf35.54 kBAdobe PDF

OPEN

NoneView/Download
07_Introduction.pdf600.57 kBAdobe PDF

OPEN

NoneView/Download
08_Literature_Review.pdf340.57 kBAdobe PDF

OPEN

NoneView/Download
09_Preliminaries.pdf239.88 kBAdobe PDF

OPEN

NoneView/Download
10_Proposed_Algorithms.pdf343.12 kBAdobe PDF

OPEN

NoneView/Download
11_Implementation_and_Results.pdf1.58 MBAdobe PDF

OPEN

NoneView/Download
12_Conclusions.pdf97.54 kBAdobe PDF

OPEN

NoneView/Download
13_References.pdf40.12 kBAdobe PDF

OPEN

NoneView/Download

Page view(s)

246
checked on Dec 11, 2017

Download(s)

1,643
checked on Dec 11, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.