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Sensor Security - Verification of Image Authenticity
Juráček, Ivo ; Španěl, Michal (referee) ; Zemčík, Pavel (advisor)
Diploma thesis is about image sensor security. Goal of the thesis was study data integrity gained from the image sensors. Proposed method is about source camera identification from noise characteristics in image sensors. Research was about influence of denoising algorithms applied to digital images, which was acquired from 15 different image sensors. Finally the statistical evaluation had been done from computed results.
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Securing Sensors - How to Provent Falsification
Bernard, Hynek ; Nosko, Svetozár (referee) ; Zemčík, Pavel (advisor)
This thesis is focused on securing digital imaging sensors in cameras and videocameras. Main direction of thesis is study of currently used security procedures and identification of camera sensor based on captured images, tangibly extraction and comparing aproxximated sensor pattern noise with noise residue of given photo. Experiments with real sensors and evaluation of most efficient approach with visions of next research of used methods are part of this thesis.
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Sensor Security - Verification of Image Authenticity
Juráček, Ivo ; Španěl, Michal (referee) ; Zemčík, Pavel (advisor)
Diploma thesis is about image sensor security. Goal of the thesis was study data integrity gained from the image sensors. Proposed method is about source camera identification from noise characteristics in image sensors. Research was about influence of denoising algorithms applied to digital images, which was acquired from 15 different image sensors. Finally the statistical evaluation had been done from computed results.
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|
|
Securing Sensors - How to Provent Falsification
Bernard, Hynek ; Nosko, Svetozár (referee) ; Zemčík, Pavel (advisor)
This thesis is focused on securing digital imaging sensors in cameras and videocameras. Main direction of thesis is study of currently used security procedures and identification of camera sensor based on captured images, tangibly extraction and comparing aproxximated sensor pattern noise with noise residue of given photo. Experiments with real sensors and evaluation of most efficient approach with visions of next research of used methods are part of this thesis.
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