Feb 14, 2022 · The proposed method for image anonymization works in two main steps: a DIP-based approach is adapted to generate multiple images with limited ...

Dec 7, 2020 · In this paper, we devise a methodology for suppressing such a trace from natural images without significant impact on image quality.

In this paper, we devise a methodology for suppressing such a trace from natural images without a significant impact on image quality. Expressly, we turn PRNU ...

This paper turns PRNU anonymization into the combination of a global optimization problem in a deep image prior (DIP) framework followed by local ...

In this paper, we devise a methodology for suppressing such a trace from natural images without a significant impact on image quality. Expressly, we turn PRNU ...

In this paper, we devise a methodology for suppressing such a trace from natural images without significant impact on image quality. Specifically, we turn PRNU ...

This is the official repository of DIPPAS: A Deep Image Prior PRNU Anonymization Scheme, submitted to IEEE Transactions on Information Forensics and Security ...

In this paper, we devise a methodology for suppressing such a trace from natural images without a significant impact on image quality. Expressly, we turn PRNU ...

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Dec 7, 2020 · This makes the approach particularly suitable in scenarios where large heterogeneous databases are analyzed and prevents any problem due to lack ...