SiamTE: Siamese Trace Erasing for Camera Trace Extraction
Marina Gardella
⚠ This is a preprint. It may change before it is accepted for publication.

Abstract

The camera trace is a signal embedded in the image during the image formation process which implicitly encodes information about the camera processing chain. In the article 'Camera Trace Erasing', Chen et al. propose a Siamese Trace Erasing method aiming at extracting those traces. In order to do so, the authors design a novel hybrid loss for network training. This hybrid loss is defined as a combination of three different losses: the embedded similarity loss, the truncated fidelity loss and the cross-identity loss. In this article we briefly explore the method and its results.

This is an MLBriefs article, the source code has not been reviewed!
The original source code is available here (last checked 2024/10/06).

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