@inproceedings{6f214c7706a945a690702b4e35c61892,
title = "THE IMPACT OF JPEG COMPRESSION ON PRIOR IMAGE NOISE",
abstract = "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.",
keywords = "DCT analysis, JPEG compression, camera noise, noise estimation, quantization",
author = "Marina Gardella and Tina Nikoukhah and Yanhao Li and Quentin Bammey",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE; 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022 ; Conference date: 22-05-2022 Through 27-05-2022",
year = "2022",
month = jan,
day = "1",
doi = "10.1109/ICASSP43922.2022.9746060",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2689--2693",
booktitle = "2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings",
}