Image Tamper Detection and Recovery using Lifting Scheme-Based Fragile Watermarking

High prevalence of digital images imposed a great interest in the process of authority and integrity investigation. In many cases, high accuracy image tamper detection techniques involves with high computational overhead in addition to the complexity produced from recovering original image process. In this work, blind image tamper detection and self-recovery is presented using Lifting Scheme which characterized by simplicity and integer based calculations and LSB modification. Experimental results reveal that proposed model performs well in terms of detection and recovery for different types of tampering as removing and cloning. Furthermore, produced watermarked images have very accepted perceptual quality in terms of subjective and objective evaluations.