Should withstand common image manipulations like compression, cropping, or noise addition. Capacity: Ability to embed sufficient data. Security: Difficult for unauthorized parties to detect or remove the watermark. MATLAB for Digital Image Watermarking MATLA
g information (the watermark) into a digital image such that it remains imperceptible to viewers but can be reliably detected or extracted later. Watermarks serve purposes such as: Copyright protection Ownership verification
gnificant embedding regions. Enhancing Robustness To withstand attacks such as compression, noise addition, or filtering: Embed in transform domain coefficients that are less affected by common processing. Use error correction codes to recover the watermark if par
es. This hierarchical decomposition can be performed iteratively to obtain multilevel representations, facilitating flexible embedding strategies. Principles of DWT-Based Watermarking Using Haar Wavelet The core idea of DWT-based watermarking with Haar wavelet in
