Image Detection Based-on the Analysis of Interpolating Signal Periodicity
Jue Yu Zhu, Meng Yuan Chen, Feng Li · Advanced materials research · 2011
A novel algorithm is introduced in this paper which gives the spectrum characteristics of an image by analyzing the periodicity of interpolating signal and then estimate scaling ratio of the image. In this paper we also compare the spectrum characteristics of each block after partitioning an image into small overlapping blocks for judging whether the image was spliced. Moreover, tampered regions can be identified. Experiment results show that this algorithm can detect whether a photograph captured by the digital camera is undergone the digital zoom. At the same time it gives the estimation of scaling ratio. As well as, it is efficient to detecting the re-sampled image.