Camera Model Identification with Convolutional Neural Networks and Image Noise Pattern
Zuo, Zhen
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https://hdl.handle.net/2142/100123
Description
Title
Camera Model Identification with Convolutional Neural Networks and Image Noise Pattern
Author(s)
Zuo, Zhen
Issue Date
2018-05-12
Keyword(s)
Deep Learning
Source Camera Identification
Noise Pattern
Abstract
Camera source detection has drawn a lot of
attention in past decade. It enables us to solve a wide range of
problems, from crime evidence identification to photo tampering
detection. In this paper, some main methods people used in
this area for past decade will be reviewed in the Introduction
and Method sections. Also in the Method and Result sections, I
compared and improved state-of-the-art approaches to solve
camera model identification problem. In the latter part, I
proposed a novel approaches based on Convolutional Neural
Networks and Image Noise Pattern. Results on the dataset from
Kaggle shows that to identify source camera, Convolutional
Neural Networks can be applied to the pattern noise rather
than directly to the original pictures to achieve at least similar
or even better performance.
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