A GEOMETRICAL ROBUST IMAGE DATA HIDING SCHEME BASED ON CONTOURLET TRANSFORM

ABSTRACTIn this paper, we present a new approach for data hiding in digital images by using multiple embedded stages. The new scheme involves feature point detector that orient for a novel Contourlet transform-hiding algorithm. By this way,our model can withstand geometric, desynchronization attacks and other common attacks  with a high capacity. The resulting watermarking scheme is suitable for public watermarking applications, where the original image is not available for watermark extraction. Experimental results demonstrate that our proposed technique is robust to a wide range of attacks.Keywords. data hiding, geometrical attacks, watermarking Contourlet transform

ON THE OPTIMAL STRUCTURE OF WATERMARK DECODERS UNDER DESYNCHRONIZATION ATTACKS

Designing watermarking codes that can withstand geometric and other desynchronization attacks is a notoriously difficult problem. One may ask whether these difficulties are due to limitations of current codes, or rather to fundamental limitations on achievable performance. This paper describes our recent results on this problem for blind and nonblind watermarking, and provides examples for which the theory applies