Bit Plane Decomposition, Quantization Embedding (Extraction), and Image Pyramid Decomposition

Simply extract the files directly into the MATLAB work directory to observe the execution results. This includes program blocks for bit plane decomposition, quantization embedding (extraction), and image pyramid decomposition, featuring implementations of algorithms like spatial domain quantization and wavelet-based decomposition.

Blind Watermark Extraction Without Reference to the Original Carrier Image

Blind watermark extraction does not require access to the original carrier image, making it highly applicable in information hiding and copyright protection. The proposed blind watermarking algorithm leverages block-based Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT), utilizing the characteristic where DCT and DWT coefficients exhibit consistent trends under attacks. Through adaptive selection of relational embedding and quantization embedding strategies, the robustness of blind watermark extraction is significantly enhanced. Additionally, dither modulation in quantization embedding facilitates flexible adjustment of watermark transparency and robustness. Extensive simulation results demonstrate strong resilience against noise interference, low-pass filtering, JPEG compression, and contrast enhancement attacks. Keywords: Digital Watermarking, Blind Watermarking, Relational Embedding.