A robust image watermarking scheme based on the discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) is proposed. The cover image is transformed from the RGB color space into the YCbCr color space to obtain a gray-level image. The DWT is then applied to the gray-level image to obtain a low-frequency (LL) subband image. Next, the DCT is applied to the LL subband image to obtain the frequency components. Finally, SVD is used on the obtained frequency components to embed the watermark. Experimental results show that the proposed method is robust against cropping, rotation, Gaussian noise additions, histogram equalization, JPEG compression, and JPEG2000 compression attacks. Therefore, the proposed method is very suitable for applications of transaction tracking, data authentication, and video surveillance.
We propose a method called the base-oriented algorithm for image hiding. The method classifies each block of the host image H according to the base value (BV) that represents the block's variation. The classified blocks then either uses BV embedding or module substitution to hide data. The hiding capability of the proposed method is high, whereas the visual performance is also good. The lossless extraction of the confidential image from the mixed image is simple and uses no look-up table. The method can be used as an economic tool to hide and store confidential data in images.
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