Title :
A new Fuzzy-based adaptive video watermarking
Author :
Youssef, S.M. ; Abouelfarag, A. ; Ghatwary, N.M.
Author_Institution :
Coll. of Comput. Eng., Arab Acad. for Sci. & Technol. (AAST), Alexandria, Egypt
Abstract :
The paper introduces a new enhanced Fuzzy-based perceptual model that integrates human visual characteristics of media covers. The proposed fuzzy scheme defuses data and operates on the human visual system model on sub-regions of the frequency multi-resolution wavelet domain of video frame. Architecture has been implemented based on fuzzy multi-variable input that generates a perceptual membership degree for both strength watermark embedding factor. Different test benchmark videos with various sizes of watermarks have been applied on the model. Several experimental attacks have been applied such as frame dropping, frame averaging and JPEG compression. In addition, the model has been compared with different other watermarking schemes in literature. The proposed model showed its robustness to attacks and at the same time achieved a high level of imperceptibility.
Keywords :
fuzzy set theory; image resolution; video watermarking; wavelet transforms; JPEG compression; frame averaging; frame dropping; frequency multiresolution wavelet domain; fuzzy multivariable input; fuzzy scheme; fuzzy-based adaptive video watermarking; fuzzy-based perceptual model; human visual characteristics; human visual system model; media covers; perceptual membership degree; strength watermark embedding factor; test benchmark videos; video frame; Discrete wavelet transforms; PSNR; Robustness; Sensitivity; Watermarking; Block Matching; Fuzzy Inference System (FIS); The human visual system (HVS); Watermarking; human visual charectrisitics (HVC);
Conference_Titel :
Communications, Signal Processing, and their Applications (ICCSPA), 2013 1st International Conference on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4673-2820-3
DOI :
10.1109/ICCSPA.2013.6487229
