Noise Addition to Host Images After Wavelet Transform-Based Watermark Embedding and Grayscale Watermark Extraction

Applying noise processing to host images after wavelet-based watermark embedding and extracting grayscale watermarks with algorithm implementation details.

Compression Processing of Wavelet Transform-Based Watermarked Host Images and Extraction of Grayscale Watermark

This process involves compressing a host image embedded with a watermark using wavelet transform techniques, followed by the extraction of the grayscale watermark from the compressed image. The implementation typically includes wavelet decomposition coefficients manipulation, quantization steps for compression, and inverse transformations for watermark recovery.