ICASSP 2022accepted0 citations
The Impact of JPEG Compression on Prior Image Noise
Marina Gardella, Tina Nikoukhah, Yanhao Li, Quentin Bammey
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
BibTeX
@inproceedings{icassp2022_theimpactofjpegc,
title = {The Impact of JPEG Compression on Prior Image Noise},
author = {Marina Gardella and Tina Nikoukhah and Yanhao Li and Quentin Bammey},
booktitle = {ICASSP 2022},
year = {2022}
}