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Robust Hashing for Color Image Authentication Using Non-Subsampled Contourlet Transform Features and Salient Features

A novel robust color image perceptual hashing authentication algorithm based on non-subsampled contourlet transform (NSCT) features and salient features was proposed, which can detect and locate the image tampering area more accurately. The above method simulates the human eye perception features, which extracts salient regions in a bottom-up way as local features and uses statistical properties of NSCT as global features. Global features and local features are used for image authentication. The global features are used to distinguish image whether it is similar or not, and local features are used to detect and locate tamper existing in the tested image. Experimental results show that the proposed method has good robustness and discrimination, which effectively realizes tamper detection and localization and more accurately locate.