Image Watermarking using Wavelet Denoising Method
Kalpana Bhelotkar1, Sandeep B. Patil2
1Kalpana Bhelotkar, ET & T Department, C.I.T. Rajnandgaon, Rajnandgaon (C.G.), India.
2Sandeep B. Patil, ET & T Department, SSCET Bhilai, Bhilai (C.G.), India.
Manuscript received on June 04, 2013. | Revised Manuscript received on June 28, 2013. | Manuscript published on July 05, 2013. | PP: 1-5 | Volume-3 Issue-3, July 2013. | Retrieval Number: B1442053213/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Robust image watermarking aims to embed invisible information, typically for copyright protection applications, in images in a way that the watermark is robust against various image processing attacks. Such attacks can be divided into signal processing and geometric attacks leading to different requirements for achieving robustness against attacks. This thesis investigate approaches to robust image watermarking focusing on the type of watermarking techniques termed as “second generation watermarking”. This class of watermarking schemes increases robustness against geometric attacks by including the use of the image’s perceptual features into the marking/detection process. Additional focus is put on the wavelet transform and its properties relevant for applications in robust image watermarking.
Keywords: Digital Image Watermarking, Singular Value Decomposition, Watermark Embedding Algorithm, Watermark Extracting Algorithm.