Advance Feature Extraction Technique for Digital Camera Identification

Abstract

On the World Wide Web, a large amount of image content is distributed, owing to the rapid progress in digital camera technologies. For presenting evidence in a court and helping police investigations Digital camera identification, which is the identification of the source camera of input image is becoming increasingly important. A digital camera identification method using the image sensor’s pattern noise has received considerable attention in recent years. The existence of differences between the sensitivities of pixels Photo-response nonuniformity (PRNU) noise is mainly generated and it is useful as a fingerprint of a camera. By image processing engine, however the PRNU noise of an image is usually contaminated by random noise and scene content affected by the image processing engine, which inhibits stable Identification. The pairwise magnitude relations of image sensor noise, we proposed a novel digital camera identification method using, which are robust to noise contamination. That the proposed method can identify the source cameras of query images with high accuracy we demonstrate, by performing experiments.