8 – Robust Watermarking

TLDR: This chapter analyzes the effects of some valumetric distortions, which can often be modeled as combinations of additive noise, amplitude changes, linear filtering, and/or quantization to occur to photographs, music, and video.

Abstract: Publisher Summary The robustness of a watermarking method is a measure of the ability of the watermark to survive legitimate and everyday usage of the content. This chapter presents general methods for achieving high robustness along with specific methods for handling some of the most common types of processing. In designing a robust watermark, it is important to identify the specific processes that are likely to occur between embedding and detection. Robustness to a given process often comes at some expense in computational cost, data payload, fidelity, or even the robustness of some other process. It is, therefore, wise to ignore those processes that are unlikely in a given application. Further, this chapter analyzes the effects of some valumetric distortions (that is, distortions that change the values of individual pixels or audio samples). Common valumetric distortions that occur to photographs, music, and video can often be modeled as combinations of additive noise, amplitude changes, linear filtering, and/or quantization. Temporal and geometric distortions are also discussed such as delay, translation, rotation, and scaling.