Watermarking Algorithm Combining Wavelet Transform and SVD Singular Value Decomposition
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Resource Overview
This algorithm integrates wavelet transform and SVD decomposition to implement robust watermark embedding and extraction, achieving optimized carrier image robustness and watermark invisibility. The extracted watermark maintains high consistency with the original watermark while demonstrating strong resistance to various attacks through strategic coefficient modification in wavelet-SVD domains.
Detailed Documentation
In this paper, we propose a dual-domain watermarking algorithm combining wavelet transform and singular value decomposition (SVD) for robust digital watermark embedding and extraction. The implementation involves: 1) Decomposing the carrier image using discrete wavelet transform (DWT) to obtain frequency subbands, 2) Applying SVD to selected subbands to extract singular values representing stable image features, 3) Embedding watermark data by modifying singular values through quantization-based modulation, and 4) Implementing inverse transformations for watermark reconstruction. Experimental results confirm that the proposed method maintains near-perfect consistency between extracted and original watermarks while exhibiting strong resistance against common attacks like compression, noise addition, and filtering. This research contributes significant advancements to digital watermarking technology and establishes new directions for future secure multimedia applications.
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