Efficient Watermarking Approach For Textured Images Using Dct And Dwt

Abstract

in the current era, Image processing technology has been developed rapidly. Changing the digital information of an image is made easy to everyone due to the growth of the internet and increasing availability of multimedia applications. It is a necessary requirement to protect the integrity and authenticity of digital information.  The DCT and DWT have been proved the most significant approach of digital watermarking. This research proposed the hybrid image watermarking algorithm based on Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). The experiment is tested over the color image. The source image is converted into RGB color space into YCbCr color. The DCT conversation was performed on each block individually. After the DCT extraction the DWT is performed on vertical component. The watermark image is embedded in LH component of DWT. The notable outcome from this research is the average PSNR values of all images is 49.17 db achieved the 100% accuracy of watermark recovery. The accuracy is calculated based on subjective to following attack Wiener, Gaussian Noise, Median filter, Cropping, Resizing, Sharpening, Blurring, JPEG Compression and Low pass filter. The results achieve optimal NCC values under the different attachments such as compression and filtering. The simulation result shows the proposed algorithm is robust and dynamic for the digital watermarking approach.