Perceptual watermarking using just noticeable difference model based on block classification

Authors:
Ivan Damnjanovic;Ebroul Izquierdo
Affiliations:
University of London, London, UK;University of London, London, UK
Venue:
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
Year:
2006

Citing 5
Cited 1

Watermarking of uncompressed and compressed video

Signal Processing
Digital watermarking

Digital watermarking
Trellis and Turbo Coding

Trellis and Turbo Coding
Improved estimation for just-noticeable visual distortion

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Image-adaptive watermarking using visual models

IEEE Journal on Selected Areas in Communications

Reliable information embedding for image/video in the presence of lossy compression

Image Communication

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Abstract

One of the main goals of watermarking is to optimize capacity while preserving high video fidelity. The perceptual adjustment of the watermark is mainly based on Watson Just Noticeable Difference (JND) model. Recently, it was proposed to improve Watson model using the classification blocks inherent to the encoder in a compressed stream. Although, the new model outperforms the previous one, especially in increasing the watermark power in textured blocks, it still underestimates JNDs at block's edges. This work presents a detailed comparison of these two models and proposes a new method that exploits the good characteristics of the two available models. In addition, experimental results on perceptibility are reported.