Abstract-This paper presents a novel image adaptive data hiding system using properties of the discrete wavelet transform and which is ready to use in combination with JPEG 2000. Image adaptive watermarking schemes determine the embedding samples and strength from the image statistics. We propose to use the energy of wavelet coefficients at high frequencies to measure the amount of distortion that can be tolerated by a lower frequency coefficient. The watermark decoder in image adaptive data hiding needs to estimate the same parameters used for encoding from a modified source and hence is vulnerable to desynchronization. We present a novel way to resolve these synchronization issues by employing specialized insertion, deletion and substitution codes. Given the low complexity and reduced perceptual impact of the embedding technique, it is suitable for inserting camera and/or projector information to facilitate image forensics.
In image watermarking, many attacks will result in a synchronization problem between embedder and detector. A novel way to, partly, overcome this problem is embedding with feature points. In this paper we describe a synchronization system based on SIFT feature points. These points are characterized as being a localized feature containing semantic information of the image and can usually be retrieved after the image is attacked. We present an improvement on the work of Lee et al. [1], by using a more robust SIFT algorithm for feature point detection which we called Global SIFT (GLOS) and an adaptation of the Circular Spatial watermarking algorithm using so called mean QIM (CSI). We experimentally show an increase in detection rate and robustness of the watermarks after geometric attacks.
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