Quentin Bammey — accepted AI-conference papers

2022

The Impact of JPEG Compression on Prior Image Noise

Marina Gardella, Tina Nikoukhah, Yanhao Li, Quentin Bammey

ICASSP 2022accepted

JPEG compression is widely used to store digital images and extensive studies analysed its impact on the image quality; in particular the quantization noise and artefacts created by JPEG. Nevertheless, there is little work on the impact of JPEG compression on the noise already present in the image.…

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2020

An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics

Quentin Bammey, Rafael Grompone von Gioi, Jean-Michel Morel

CVPR 2020poster

Automatically finding suspicious regions in a potentially forged image by splicing, inpainting or copy-move remains a widely open problem. Blind detection neural networks trained on benchmark data are flourishing. Yet, these methods do not provide an explanation of their detections. The more traditi…

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