Robust video watermarking with complex conjugate symmetric sequency transform using SURF feature matching

Abstract

This article proposes a video watermarking technique by concealing the watermark in the low frequency bands of phase using Conjugate Symmetric Sequency Complex Hadamard Transform (CS-SCHT) and Speeded Up Robust Feature (SURF). The CS-SCHT is effective in dealing with attacks such as H.264 compression, Gaussian noise, Salt and pepper noise and speckle noise. However, the watermark in CS-SCHT based video watermarking scheme is erased when rotation, scaling and translation attack is applied. So in this work CS-SCHT is combined with a Speeded Up Robust Feature (SURF) algorithm. This watermarking scheme allows correct watermarked detection even if it is distorted by scaling, rotation, shearing, illumination change and translation. Image registration has been performed on watermarked image and SURF extracted affine transform for these attacks. The affine transform is inverse transformed to reposition the watermarked video to original, before the watermark extraction. The quality of signed video is analyzed by Peak signal–to–noise ratio (PSNR) and Structural Similarity index Measure (SSIM). Simulation results prove the proposed video watermarking scheme shows superiority in the results of imperceptibility and robustness.