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In this paper, we describe a Trellis Coded Quantization (TCQ)-based quantization and watermarking technique in the framework of JPEG2000 still image compression. Furthermore, we investigate the design of a novel joint compression and watermarking scheme based on a hybrid TCQ module which can perform at the same time quantization and watermark embedding. The watermark extraction process can be achieved both during and after image decompression. Another advantage is the lower complexity of the system because the quantization stage is used for both compression and watermarking purposes. Experimental results have demonstrated that the proposed joint scheme successfully survives JPEG2000 compression with minimal degradation of the image quality. We also studied the robustness of the scheme against gaussian filtering attack, gaussian noise attack, valumetric attack and jpeg attack.

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Watermarking in the Joint Photographic Experts Group (JPEG)2000 coding pipeline is investigated in this paper. A joint quantization and watermarking method based on trellis-coded quantization (TCQ) is proposed to reliably embed data during the quantization stage of the JPEG2000 part 2 codec. The central contribution of this work is the use of a single quantization module to jointly perform quantization and watermark embedding at the same time. The TCQbased watermarking technique allows embedding the watermark in the detail sub-bands of one or more resolution levels except the first one. Watermark recovery is performed after image decompression. The performance of this joint scheme in terms of image quality and robustness against common image attacks was estimated on real images.

The Hyper-Cube watermarking has shown a high potential for high-rate robust watermarking. In this paper, we carry on the study and the evaluation of this quantization-based approach. We especially focus on the use of a Trellis Coded Quantization (TCQ) and its impact on the Hyper-Cube performances. First, we recall the TCQ functioning principle and we propose adapted quantizers. Second, we analyze the integration of the TCQ module in a cascade of two coders (resp. two decoders). Finally, we experimentally compare the proposed approach with the state-of-the-art of high-rate watermarking schemes. The obtained results show that our Multi-Hyper-Cube scheme always provides good average performances.Index Terms-High-rate robust watermarking scheme, Trellis Coded Quantization and watermarking joint scheme, Perceptual watermarking, Valumetric attack robustness.