Machine learning based adaptive watermark decoding in view of anticipated attack
Authors:
- Asifullah KhanAKAsifullah Khan
- Syed Fahad TahirSTSyed Fahad Tahir
- Abdul MajidAMAbdul Majid
- Tae-Sun ChoiTCTae-Sun Choi
- 1 August 2008
- journal article
- Published by Elsevier in Pattern Recognition
- Vol. 41 (8) , 2594-2610
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- Genetic perceptual shaping: Utilizing cover image and conceivable attack information during watermark embeddingInformation Fusion, 2007
- A novel approach to decoding: Exploiting anticipated attack information using genetic programmingInternational Journal of Knowledge-based and Intelligent Engineering Systems, 2006
- Neural-network-based zero-watermark scheme for digital imagesOptical Engineering, 2006
- Watermarking Security: A Survey2006
- A novel image watermarking scheme based on support vector regressionJournal of Systems and Software, 2005
- Hidden messages in heavy-tails: DCT-domain watermark detection using alpha-stable modelsIEEE Transactions on Multimedia, 2005
- Locally Optimum Nonlinearities for DCT Watermark DetectionIEEE Transactions on Image Processing, 2004
- Optimal Watermark Detection Based on Support Vector Machines2004
- A new decoder for the optimum recovery of nonadditive watermarksIEEE Transactions on Image Processing, 2001
- DCT-domain watermarking techniques for still images: detector performance analysis and a new structureIEEE Transactions on Image Processing, 2000