Nowadays, digital images and videos have become increasingly popular over the Internet and bring great social impact to a wide audience. In the meanwhile, technology advancement allows people to easily alter the content of digital multimedia and brings serious concern on the trustworthiness of online multimedia information. In this paper, we propose a new framework for multimedia forensics by using compact side information based on reversible watermarking to reconstruct the processing history of a multimedia data. Particularly, we focus on a secure reversible watermarking to make the image hash more secure and robust. Moreover, we introduce an algorithm based on Radon transform and scale space theory to effectively estimate the parameters of geometric transforms and to detect local tampering. The experimental results show that the quality of the embedded image is very high and the positions of the tampered parts are identified correctly.