Forensic data hiding optimized for JPEG 2000

Abstract

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.

Graphics processing unit implementation and optimisation of a flexible maximum a‐posteriori decoder for synchronisation correction

“…Another example is robust digital watermarking, where a message is embedded into a media file and an attacker seeks to make the message unreadable. An effective attack is to cause loss of synchronisation; synchronisation‐correcting codes have been successfully applied to resist these attacks in speech [4] and image [5] watermarking.…”

A GPU Implementation of a MAP Decoder for Synchronization Error Correcting Codes

“…Another example is robust digital watermarking, where a message is embedded into a media file and an attacker seeks to make the message unreadable. An effective attack is to cause loss of synchronization; synchronization-correcting codes have been successfully applied to resist these attacks in speech [4] and image [5] watermarking.…”

Codebook and marker sequence design for synchronization-correcting codes

“…insertion and deletion) errors has been considered early in the development of coding theory [1]. Practical schemes have recently received considerable attention, due to the emergence of applications where such codes are necessary, for example in image watermarking [2] and bit-patterned magnetic media [3]. A survey of error-correcting codes for synchronizationerror channels can be found in [4].…”