A Comparison between Digital Image Watermarking in Tow Different Color Spaces Using DWT2
This work addresses ownership verification and image authentication for digital media, but it is incremental as it builds on existing DWT techniques with a focus on color space and watermark type.
The paper tackles digital image watermarking by proposing a method using DWT in the YCbCr color space with binary images as watermarks, achieving improved imperceptibility and robustness against wavelet compression compared to traditional RGB-based methods.
A novel digital watermarking for ownership verification and image authentication applications using discrete wavelet transform (DWT) is proposed in this paper. Most previous proposed watermarking algorithms embed sequences of random numbers as watermarks. Here binary images are taken as watermark for embedding. In the proposed approach, the host image is converted into the YCbCr color space and then its Y channel decomposed into wavelet coefficients. The selected approximation coefficients are quantized and then their four least significant bits of the quantized coefficients are replaced by the watermark using LSB insertion technique. At last, the watermarked image is synthesized from the changed and unchanged DWT coefficients. The experiments show that the proposed approach provides extra imperceptibility and robustness against wavelet compression compared to the traditional embedding methods in RGB color space. Moreover, the proposed approach has no need of the original image to extract watermarks.