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Watermarking and Data Hiding Techniques-Applications of Computer Sciences-Project Presentations, Slides of Applications of Computer Sciences

This is project presentation related to Application of Computer Science course. This presentation was delivered in presence of Prof. Ashish Behari at Alliance University. Its main points are: Watermaking, Data, Hiding, Techniques, Reversible, Implementation, Threshold, Selection, Embedded, Authentication

Typology: Slides

2011/2012

Uploaded on 07/16/2012

samderiya
samderiya 🇮🇳

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Download Watermarking and Data Hiding Techniques-Applications of Computer Sciences-Project Presentations and more Slides Applications of Computer Sciences in PDF only on Docsity! 7 July 2012 docsity.com Layout  Phase 1  Introduction  Overview, basics of Digital watermarking  Phase 2  Implementation of Reversible watermarking Technique Proposed by Xuen et al, [1].  Results Discussion  Conclusions  Phase 3  Proposed GA based Threshold Selection Reversible watermarking  Results Comparison  Conclusions  Phase 4  Proposed GP based Coefficient Selection Reversible watermarking  Results Comparison  Conclusions  Future Directions  References 7 July 2012 docsity.com Watermarking • Watermarking is one of the data hiding techniques. • The process of embedding information into a digital signal. The signal may be audio, video, or picture. • Authentication • Copyright Protection 7 July 2012 docsity.com Why Medical Images? • Very complex and sensitive • Little distortion may cause lose of useful information. • ROI • As our claim is that we can restore the image completely, we can embed watermark in the whole image. 7 July 2012 docsity.com Visible watermarking Watermark [2] Watermarked Image [2] 7 July 2012 docsity.com Phase 1 7 July 2012 docsity.com Xuan’s Approach Implementation of Reversible watermarking technique by Xuen et al. [1] 7 July 2012 docsity.com Original image Original image a ¥ i : : ; istogram recover Histogram modification v > £ ¥y - ¥ Histogram odificati / i Integer wavelet transform moameatton Inverse integer bookkeeping data wavelet transform -» y a Data embedding using + Data extraction and companding technique} wavelet coefficients recovery Inverse integer wavelet Payload & transform some Integer wavelet transform over-head data * ¥ Marked image Marked image x wo Store or transmission 2012 docsity.com Baboon image processing  (a) Original Image (a) Watermarked Image (c) Difference of (a) & (b) (d) Restored Image (e) Difference of (a) & (d) 7 July 2012 docsity.com Goldhill image processing (a) Original Image (a) Watermarked Image (c) Difference of (a) & (b) (d) Restored Image (e) Difference of (a) & (d) 7 July 2012 docsity.com MRI 1 image processing (a) Original Image (a) Watermarked Image (c) Difference of (a) & (b) (d) Restored Image (e) Difference of (a) & (d) 7 July 2012 docsity.com X-ray image processing (a) Original Image (a) Watermarked Image (c) Difference of (a) & (b) (d) Restored Image (e) Difference of (a) & (d) 7 July 2012 docsity.com Payload 0.1 0.2 0.3 0.4 0.5 0.6 0.7 PSNR (Xuan’s Approach [1]) 49.8 46.2 43.4 42.2 41.2 40.3 39.0 Payload 0.1 0.2 0.3 0.4 0.5 0.6 0.7 PSNR (Xuan’s Approach [1]) 48.6 45.6 43.3 41.2 40.6 39.7 38.6 Results PSNR vs Payload for Lena Image PSNR vs Payload for Barbara Image 7 July 2012 docsity.com Payload 0.1 0.2 0.3 0.4 0.5 0.6 0.7 PSNR (Xuan’s Approach [1]) 44.4 41.9 39.9 38.8 38.0 37.2 36.5 Payload 0.1 0.2 0.3 0.4 0.5 0.6 0.7 PSNR (Author Approach Implementation) 50.0 46.6 44.4 42.9 41.8 40.9 40.2 Results PSNR vs Payload for Baboon Image PSNR vs Payload for Goldhill Image 7 July 2012 docsity.com
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