A Review on Tampering Detection Methods in Digital Image Forensics

The digital way of communication has a leg in both the extremities. With the abnormal growth in digitization, the vulnerabilities have also grown along with it. There are lots of softwares available to tamper the digital images and alter the sequential meaning of it, for several intentions. The tampered images could not satisfy the needs of their applicability areas. Thus, the original cause of the application areas like military, criminal investigation, forensic investigation, surveillance systems, and services in intelligence systems, journalism and medical imaging are deviated. There are many methods in detecting the tampered regions like analyzing the source of the image, exploring the characteristics of illumination color classification, investigating variational deconvolution features. This paper emphasis on reviewing the techniques used in identifying the tampered regions in the digital images and details their performance.