Search results for "PRNU"

showing 2 items of 2 documents

Experiencing with electronic image stabilization and PRNU through scene content image registration

2021

Abstract This paper explores content-based image registration as a means of dealing with and understanding better Electronic Image Stabilization (EIS) in the context of Photo Response Non-Uniformity (PRNU) alignment. A novel and robust solution to extrapolate the transformation relating the different image output formats for a given device model is proposed. This general approach can be adapted to specifically extract the scale factor (and, when appropriate, the translation) so as to align native resolution images to video frames, with or without EIS on, and proceed to compare PRNU patterns. Comparative evaluations show that the proposed approach outperforms those based on brute-force and p…

Computer scienceElectronic image stabilizationImage registrationContext (language use)Camera and video source identification02 engineering and technology01 natural sciencesMultimedia forensicsArtificial Intelligence0103 physical sciences0202 electrical engineering electronic engineering information engineeringComputer vision010306 general physicsImage registrationSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniNative resolutionImage registration Electronic Image Stabilization PRNU Camera and video source identification Multimedia forensicsSettore INF/01 - Informaticabusiness.industryPRNUTracking systemScale factorImage stabilizationIdentification (information)Transformation (function)Signal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
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Prnu Pattern Alignment for Images and Videos Based on Scene Content

2019

This paper proposes a novel approach for registering the PRNU pattern between different camera acquisition modes by relying on the imaged scene content. First, images are aligned by establishing correspondences between local descriptors: The result can then optionally be refined by maximizing the PRNU correlation. Comparative evaluations show that this approach outperforms those based on brute-force and particle swarm optimization in terms of reliability, accuracy and speed. The proposed scene-based approach for PRNU pattern alignment is suitable for video source identification in multimedia forensics applications.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni021110 strategic defence & security studiesSettore INF/01 - Informaticabusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION0211 other engineering and technologiesPRNU SIFT image registration video stabilizationParticle swarm optimization02 engineering and technologyVideos Particle swarm optimization Image resolution Correlation Reliability Cameras SensorsIdentification (information)Content (measure theory)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessReliability (statistics)
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