Implementation of Watermark Embedding Using Binary Dither Modulation with Uniform Quantizer

This algorithm implements watermark embedding using binary dither modulation with a uniform quantizer. The technique embeds watermark information into original data through binary dither modulation, where the uniform quantizer ensures maintained data quality post-embedding. From an implementation perspective, the algorithm typically involves quantizing host signal coefficients using uniform quantization steps, followed by dither modulation that adjusts quantization indices according to binary watermark bits. The core process can be implemented using quantization index modulation (QIM) principles, where each watermark bit determines the specific quantization lattice point selection. This watermarking method serves effectively for digital copyright protection, preventing piracy and unauthorized distribution. By embedding watermarks, content owners can track and verify ownership while ensuring legitimate usage. The algorithm demonstrates strong robustness, capable of resisting common embedding attacks and signal processing manipulations. Key implementation aspects include designing appropriate quantization step sizes to balance imperceptibility and robustness, and implementing dither sequences that optimize detection performance. The binary dither modulation approach with uniform quantization represents an efficient watermark embedding solution, particularly suitable for applications requiring reliable copyright protection mechanisms. The algorithm's implementation typically involves MATLAB or Python code for quantization operations, dither sequence generation, and embedding rules that modify host signal coefficients based on watermark bits while maintaining perceptual transparency.