Paper Details: Downloads: 813
Serial Number: P1151132703
Title: Shaping optimal parameters selection for most favourable robustness and imperceptibility in watermarking in the DWT domain
Authors: Hassène Seddik and Ezzeddine Ben Braiek
Abstract: The enlargement use of multimedia content through online services in addition to the widespread of new image technologies and data exchanges has created the need for new techniques able to insure copyright protection and data owner identification. Considering the deficiencies of steganographie and cryptography, watermarking is nowadays a new technique that provides an efficient mean for resolving these problems. Watermark embedding techniques depend on the representation domain of the image (spatial, frequency, and multi-resolution). Every domain has its specific advantages and limitations. Moreover, each technique in a chosen domain is found to be robust to specific sets of attack types. The ultimate goal of each technique is to allow the embedded watermark to be invisible and robust against a wide range of attacks. The most damaging unintentional attacks are compression techniques. Many of these last techniques are based on the new coding procedures using Multi-resolution domain. In order to develop a watermarking technique robust against large sets of attacks, we must exploit this domain to overcome these attacks constraints. In this paper, a study is developed considering all the parameters contributing in the watermarking scheme. An optimal point allowing robustness and imperceptibility of the embedded watermark is established. Using these optimized parameters any technique based on the multi-resolution domain can reach the maximum of imperceptibility and robustness
Keywords: robust Image watermarking, wavelet transform, Stirmark, parameters optimization
Journal/Conference: ICGST Conference on Computer Science and Engineering, CSE-11
Volume:
Issue:
Submission Date: 8/12/2011 12:00:00 AM
Review Date: 10/4/2011 12:00:00 AM
Publishing Date: 12/19/2011 12:00:00 AM
Article Downloads: 813
Download:

Facebook