Quantization Watermarking for Joint Compression and Data Hiding Schemes

Abstract : Enrichment and protection of JPEG2000 images is an important issue. Data hiding techniques are a good solution to solve these problems. In this context, we can consider the joint approach to introduce data hiding technique into JPEG2000 coding pipeline. Data hiding consists of imperceptibly altering multimedia content, to convey some information. This process is done in such a way that the hidden data is not perceptible to an observer. Digital watermarking is one type of data hiding. In addition to the imperceptibility and payload constraints, the watermark should be robust against a variety of manipulations or attacks. We focus on trellis coded quantization (TCQ) data hiding techniques and propose two JPEG2000 compression and data hiding schemes. The properties of TCQ quantization, defined in JPEG2000 part 2, are used to perform quantization and information embedding during the same time. The first scheme is designed for content description and management applications with the objective of achieving high payloads. The compression rate/imperceptibility/payload trade off is our main concern. The second joint scheme has been developed for robust watermarking and can have consequently many applications. We achieve the better imperceptibility/robustness trade off in the context of JPEG2000 compression. We provide some experimental results on the implementation of these two schemes.
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Dalila Goudia, Marc Chaumont, William Puech, Naima Hadj Said. Quantization Watermarking for Joint Compression and Data Hiding Schemes. Dr. Mithun Das Gupta. Watermarking - Volume 1, InTech, Chapter 1, 2012, 978-953-51-0618-0. 〈10.5772/2342〉. 〈http://www.intechopen.com〉. 〈lirmm-00839002〉

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