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.
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering