Proceedings ArticleDOI
Source camera identification using SPN with PRNU estimation and enhancement
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TLDR
This work analyzes the PRNU estimation and enhances the content of the PRnU for better accurate identification of the source camera in sensor pattern noise associated with digital images.Abstract:
The sensor pattern noise is associated with digital images, due to imperfection in the chip of image sensor manufacturing process and it causes pixel sensitivity variation in the imaging sensor. The distinct property of these pattern noises makes it unique to that image sensor. Therefore, it acts as ‘fingerprint’ of that particular imaging sensor. The main contributor of sensor pattern noise is Photo Response Non-Uniformity noise (PRNU). In this proposed work, we analyse the PRNU estimation and enhance the content of the PRNU for better accurate identification of the source camera. The PRNU extraction consists of three stages: filtering, estimation and enhancement stage. Each stage consists of various techniques incorporated for the PRNU extraction. The experiments were conducted on natural images taken from the different camera models. For our experiment, 300 images from 6 different camera models are used and identification of source camera of a given image is done by correlating the PRNU reference pattern with the noise residual model obtained from the test image.read more
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References
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Digital camera identification from sensor pattern noise
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Exposing digital forgeries in color filter array interpolated images
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Proceedings ArticleDOI
The 'Dresden Image Database' for benchmarking digital image forensics
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TL;DR: A novel image database specifically built for the purpose of development and bench-marking of camera-based digital forensic techniques and is intended to become a useful resource for researchers and forensic investigators.
Journal ArticleDOI
Source Camera Identification Using Enhanced Sensor Pattern Noise
TL;DR: This work proposes a novel approach for attenuating the influence of details from scenes on SPNs so as to improve the device identification rate of the identifier.
Journal ArticleDOI
The Dresden Image Database for Benchmarking Digital Image Forensics
Thomas Gloe,Rainer Böhme +1 more
TL;DR: A novel image database specifically built for the purpose of development and benchmarking of camera-based digital forensic techniques and is intended to become a useful resource for researchers and forensic investigators.
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