Robust image watermarking based on discrete wavelet transform-discrete cosine transform-singular value decomposition

With the rapid growth of network multimedia systems and other numerical technologies, images, audio, text and video can be more easily produced, processed as well as stored by digital devices in recent years. To conceal data in transmitting message for copyright protection the secret is very important. Various Digital Watermarking Techniques are developed to protect the secret data. This paper presents a digital watermarking technique which is based on DWT, DCT and SVD. DWT has excellent spatial localization, frequency spread and multiresolution characteristics. DCT & SVD based watermarking techniques offer compression. These desirable properties are used in this combined watermarking technique. Compared with DWT-DCT, DCT SVD, DWT-SVD based watermarking techniques; experimental results show that this algorithm is robust to various attacks such as JPEG compression, cropping, rotation, and noise. KeywordsSingular Value Decomposition (SVD), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Peak Signal to Noise Ratio (PSNR), Correlation Coefficient, JPEG Compression, Gaussian Blurring.