Color Digital Image Watermarking Technology Using MATLAB Wavelet Toolbox

Color digital image watermarking technology using MATLAB Wavelet Toolbox is a method that combines wavelet transform and digital image processing techniques to embed watermark information into color digital images. Wavelet transform serves as a multi-scale analysis technique that decomposes signals or images into frequency components at different scales, while digital image processing enables various operations and manipulations on images. By integrating these two technologies, we can effectively embed watermark information into color digital images to achieve copyright protection and image authenticity verification. This technology primarily utilizes functions like wavedec2() for 2D wavelet decomposition, waverec2() for reconstruction, and rgb2ycbcr() for color space conversion to handle RGB components separately. The implementation typically involves choosing appropriate wavelet bases (such as Haar, Daubechies), determining decomposition levels, and embedding watermarks in specific frequency subbands (like HL, LH, or HH) to balance robustness and imperceptibility. With broad application prospects in image processing and information security fields, this approach allows developers to create custom watermarking algorithms using MATLAB's comprehensive wavelet analysis functions and image processing toolbox capabilities.