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Oct 21, 2016 · In this paper, we present a new PRNU-based source camera identification and verification system and propose enhancements in different stages.
Sensor Pattern Noise Estimation Based on Improved Locally Adaptive DCT Filtering and Weighted Averaging for Source Camera Identification and Verification.
In this paper, we present a new PRNU-based source camera identification and verification system and propose enhancements in different stages. First, an improved ...
Sensor Pattern Noise Estimation Based on Improved. Locally Adaptive DCT Filtering and Weighted. Averaging for Source Camera Identification and. Verification.
The authors in [36] proposed a new method for source camera identification verification based on PRNU. An improved Locally Adaptive Discrete Cosine Transform ( ...
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Sensor pattern noise estimation based on improved locally adaptive DCT filtering and weighted averaging for source camera identification and verification.
Sensor Pattern Noise Estimation Based on Improved Locally Adaptive DCT Filtering and Weighted Averaging for Source Camera Identification and Verification.
Sensor pattern noise estimation based on improved locally adaptive DCT filtering and weighted averaging for source camera identification and verification ...
"Sensor. Pattern Noise Estimation Based on Improved Locally. Adaptive DCT Filtering and Weighted Averaging for. Source Camera Identification and Verification.
Improving source camera identification performance using DCT based image frequency components dependent sensor pattern noise extraction method. Author links ...