Research On Robust Watermarking Method Of Digital Image Using SURF And DCT

In the continuous development of computer network technology,multimedia technology and information technology,digitization has become the main means of displaying information,thus facilitating the storage,copying and dissemination of digital multimedia information.In this context,there are no restrictions on arbitrary editing,copying,modification,and dissemination of digital images,music,etc.,which leads to various social problems such as information security,copyright disputes,and piracy.With the advancement of networks and multimedia,digital watermarking technology has received worldwide attention as an effective method of copyright protection.Improving the anti-geometric attack ability of digital watermarking algorithms using image feature-based algorithms have received extensive attention.Common attacks on watermarked host images can be divided into conventional attacks and geometric attacks.Conventional attacks mainly include filtering,noise,compression,etc.;geometric attacks mainly include rotation,scaling,translation,and shearing.The robustness of the digital watermarking algorithm is an important performance indicator.The current watermarking algorithm's resistance to geometric attacks is a difficult problem to solve.This study uses the watermark technology to associate the watermark information with the characteristics of the host image.The researched algorithm has better robustness,especially better resistance to geometric attacks.The main research contents are as follows:(1)Research the robust blind-watermark algorithm based on SURF perceptual hash and DCT.The algorithm firstly uses the affine transformation with a feature matrix and chaotic encryption technology to preprocess the watermark image,enhance the confidentiality of the watermark,and perform block and DCT coefficients extraction on the carrier image,and then uses the positive and negative quantization rules to modify the DCT coefficients.The embedding of the watermark is completed,and the blind extraction of the watermark is realized.Studies have found that the SURF algorithm has good robustness to geometric attacks,but the selection of feature modules in the process of perceptual hashing needs to be optimized.(2)Research the robust zero watermark algorithm based on SURF and DCT features which also helps in dual watermarking.First,the original image is converted from RGB space to YUV space,and the SURF(speeded up robust feature)of the luminance component is extracted.The marker points constructs a description vector according to the main direction of the feature point.Experimental results show that the proposed algorithm has good performance.(3)Research the robust watermark algorithm based on SURF and DCT with SVD.Aiming at the problems of small embedding capacity and weak resistance to geometric attacks of digital image watermarking algorithms,a digital watermarking algorithm based on accelerated robust feature algorithm(SURF),redundant discrete wavelet transform(RDWT),and singular value decomposition(SVD)was proposed.The feature points are extracted using the rotation and translation invariance of the SURF algorithm,and the RDWT and SVD transform and inverse transforms of the carrier image and the watermark image are performed to achieve the embedding and extraction of the watermark.A random sampling consistency algorithm is introduced to optimize the feature point matching results.Experimental results show that the algorithm improves the embedding watermark capacity and effectively enhances the robustness against geometric attacks.