Authenticating Super-Resolved Image and Enhancing Its PSNR Using Watermark

In this paper, a novel watermarking scheme is proposed for super-resolved images. All watermarking methods reduce PSNR of a host signal, while the proposed algorithm increases it. The singular values (SV) derived from edges of the low resolution (LR) image forms the image dependent watermark. Next we obtain linear measurements of the watermark using a compressive sensing (CS). These measurements are embedded in the super-resolved image using a lossless compression framework. Watermark is extracted at the receiver and super-resolved image is authenticated. After positive authentication, watermark (SV's) is used to regenerate edge information which is added to the super-resolved image. This addition increases the PSNR. To best of our knowledge, it is the first algorithm that achieves simultaneous PSNR improvement and provide authentication to the super-resolved image while increasing signal fidelity.