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Communication Dans Un Congrès Année : 2022

The Impact of JPEG Compression on Prior Image Noise

Tina Nikoukhah
Quentin Bammey
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Résumé

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. In this paper, we propose a model predicting how the noise power is affected by JPEG compression. This allows for a better understanding the noise traces on the image, which is crucial for image forensic analysis and image restoration. An interactive demo for this article is available at https://ipolcore.ipol.im/demo/clientApp/demo.html?id=77777000136}{https://ipolcore.ipol.im/demo/clientApp/demo.html?id=77777000136.
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Dates et versions

hal-03907095 , version 1 (19-12-2022)

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Marina Gardella, Tina Nikoukhah, Yanhao Li, Quentin Bammey. The Impact of JPEG Compression on Prior Image Noise. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), May 2022, Singapour, Singapore. pp.2689-2693, ⟨10.1109/ICASSP43922.2022.9746060⟩. ⟨hal-03907095⟩
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