Therefore, the aim of this paper is to shed light on the application of source camera identification in digital forensic science via a comparative analysis of ...
Their findings indicated that the deep learning approach provides good performance in the case of source device of the image, but it degrades the performance ...
A small number of training images are used to train the network to identify the source of an image, and the noise pattern of the images is extracted using the ...
Comparative Analysis of a Deep Convolutional Neural Network for Source Camera Identification. https://doi.org/10.1109/icgs3.2019.8688260.
Therefore, the aim of this paper is to shed light on the application of source camera identification in digital forensic science via a comparative analysis of ...
Comparative Analysis of a deep convolutional neural network for source camera identification (2019). First Author: Farah Ahmed.
May 10, 2021 · This project compares 3 major image processing algorithms: Single Shot Detection (SSD), Faster Region based Convolutional Neural Networks (Faster R-CNN), and ...
This paper proposes a method for identifying the source camera of digital images based on convolutional neuron network.
Missing: Comparative | Show results with:Comparative
Comparative Analysis of a Deep Convolutional Neural Network for Source Camera Identification · Computer Science, Engineering. 2019 IEEE 12th International ...
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[PDF] Comparative study of DL-based methods performance for camera ...
library.imaging.org › MWSF-330
The methods based on deep learning are dedicated to three main goals: basic (only model) - triple (brand, model and device) - open-set (known and unknown.
Missing: Analysis | Show results with:Analysis