Smartphone Camera Identification from Low-Mid Frequency DCT Coefficients of Dark Images
Camera sensor identification can have numerous forensics and authentication applications. In this work, we follow an identification methodology for smartphone camera sensors using properties of the Dark Signal Nonuniformity (DSNU) in the collected images. This requires taking dark pictures, which th...
Main Authors: | Adriana Berdich, Bogdan Groza |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/24/8/1158 |
Similar Items
-
Fingerprinting Smartphones Based on Microphone Characteristics From Environment Affected Recordings
by: Adriana Berdich, et al.
Published: (2022-01-01) -
Inrein App: Spice Detector Using Smartphone Camera Sensor
by: Bobi Kurniawan, et al.
Published: (2022-12-01) -
A Crowd-Sourcing Indoor Localization Algorithm via Optical Camera on a Smartphone Assisted by Wi-Fi Fingerprint RSSI
by: Wei Chen, et al.
Published: (2016-03-01) -
INTELLIGENT FINGERPRINT-BASED ACCESS SYSTEM WITH CAMERA
by: Marina Daniela SAS
Published: (2021-12-01) -
Employing Smartphone and Compact Camera in Building Measurements
by: Haval A. Sadeq
Published: (2018-09-01)