Image Adaptive Watermarking Project Proposal Ryan Johnson EE6886 Multimedia Security Systems Prof. Ching-Yung Lin April 5, 2006 Outline Introduction of proposed project Project purpose and objectives Techniques and references Project plan Research Experimentation Result evaluation Preliminary schedule Project Proposal Image Adaptive (IA) Watermarking Attempt to improve the conflict between the three image watermarking metrics Attempt to overcome problems with uniform images Utilizes human visual models to maximize watermark length and power. Project Purpose/Objectives Understand Human Vision Model Human visual system Just Noticeable Difference (JND) Compare IA watermarking schemes DCT vs. Wavelet Transform Spread Spectrum Technique (Cox et al) Compare Human Vision Models within watermarking schemes Techniques Discrete Wavelet Transform Discrete Cosine Transform Human Vision Models Obtaining JND thresholds Applying human vision models Watermark Extraction References Watson (NASA), Rubin (NYU) Human visual studies Podilchuk/Zeng (Purdue) IA watermarking based on DCT and wavelet transform Cao et al (Mississippi State Univ.) Redundant Wavelet Transform Project Plan Research Tasks (Week 1) 1. Human Vision Models How human vision works How the human vision models were created Proposed human vision models Can I model a human vision system? 2. Research various IA watermarking schemes Project Plan Experimentation/Implementation 1. Implement IA watermarking schemes (Week 2 – 3) Spread Spectrum technique (Cox et al) Different IA schemes Different human vision models 2. Evaluate results (Week 3 - 4) JND threshold testing/validation Test procedure - determine variables and minimize 3. Report results (Week 5) Write report Evaluating Results JND Thresholds Compare colleague test results to proposed human vision models Watermarking metrics Transparency Human comparison test PSF Robustness - Attacks JPEG Compression Rescaling Cropping Any combination Capacity Maximum intensity watermark Maximum length watermark Overall improvement over Spread Spectrum Compare results of images with large, smooth areas for each type of watermarking scheme Questions?
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