Identification of bitmap compression history: JPEG detection and quantizer estimation
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
The problem of local artificial changes detection (forensics) with JPEG compression properties [1] was established in this article. The known methods for detecting such changes [2---4] describe only the distinctions of JPEG-compressed images from those without compression. In this work we developed an algorithm for detecting local image embeddings with compression properties and for determining the shifts of embedded JPEG blocks relative to the embedding coordinates, which are multiples of 8, and also derived the dependence between the period of peaks in the spectrum of the histogram of DCT coefficients and the JPEG compression quality factor. In the course of studies, we obtained numerical results on the quality of true and false embedding detections for the developed algorithm.