Abstract
A new discrete wavelet transform-based image fragile watermarking scheme exploiting the features of the human visual system is presented. Fusion of multi-resolution tamper detections, and mathematical morphology operations are developed for accurate tamper detection. As a result, malicious tamper and the tampered regions can be detected, while toleration towards high quality lossy image compression is achieved.
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