Abstract
This blind color image watermarking technique based on Hessenberg Decomposition and Schur Decomposition examines the performance in terms of invisibility and robustness. For the security purpose, the Fibonacci-Lucas Transform is used to scramble the watermark image. This technique is tested with several color images from the image database CVG-UGR as the host image and QR code image is used as a binary watermark image. In this method the Y component of the YCbCr color space of the color host image is used to embed the binary QR code as the watermark image. In term of average PSNR value i.e. 64.1177 dB of all the watermarked images, better Perceptual quality achieved using Hessenberg Decomposition as compared to the average PSNR value 55.5823 dB using Schur Decomposition. Moreover, all the recovered watermark image i.e. QR codes have been detected too. The analysis shows good robustness against several attacks. Hessenberg Decomposition satisfies the good robustness against several noise like salt and pepper noise, resize, cropping, gaussian noise, resize and JPEG compression as compared to Schur Decomposition.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
