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Bibliographic Details
Main Authors: Si, Zhaofeng, Lyu, Siwei
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2504.17594
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author Si, Zhaofeng
Lyu, Siwei
author_facet Si, Zhaofeng
Lyu, Siwei
contents An intriguing phenomenon about JPEG compression has been observed since two decades ago- after repeating JPEG compression and decompression, it leads to a stable image that does not change anymore, which is a fixed point. In this work, we prove the existence of fixed points in the essential JPEG procedures. We analyze JPEG compression and decompression processes, revealing the existence of fixed points that can be reached within a few iterations. These fixed points are diverse and preserve the image's visual quality, ensuring minimal distortion. This result is used to develop a method to create a tamper-evident image from the original authentic image, which can expose tampering operations by showing deviations from the fixed point image.
format Preprint
id arxiv_https___arxiv_org_abs_2504_17594
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Tamper-evident Image using JPEG Fixed Points
Si, Zhaofeng
Lyu, Siwei
Computer Vision and Pattern Recognition
I.4.7
An intriguing phenomenon about JPEG compression has been observed since two decades ago- after repeating JPEG compression and decompression, it leads to a stable image that does not change anymore, which is a fixed point. In this work, we prove the existence of fixed points in the essential JPEG procedures. We analyze JPEG compression and decompression processes, revealing the existence of fixed points that can be reached within a few iterations. These fixed points are diverse and preserve the image's visual quality, ensuring minimal distortion. This result is used to develop a method to create a tamper-evident image from the original authentic image, which can expose tampering operations by showing deviations from the fixed point image.
title Tamper-evident Image using JPEG Fixed Points
topic Computer Vision and Pattern Recognition
I.4.7
url https://arxiv.org/abs/2504.17594