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Abstract

This paper presents a lightweight JPEG XS coding scheme incorporating spatio-color scrambling for privacy protection. The proposed approach follows an Encryption-then-Compression (EtC) framework, maintaining compatibility with the JPEG XS standard. Prior to encoding, input images undergo scrambling operations, including line permutation, line reversal, and color permutation. Security analysis indicates that the scrambling technique provides a large key space, making brute-force attacks computationally challenging. Experimental results demonstrate that the proposed method achieves a rate-distortion (RD) performance nearly equivalent to conventional JPEG XS compression while enhancing visual security. Additionally, a rectangular block-based scrambling technique is explored, which offers a trade-off among low latency, reduced memory usage, and visual concealment performance. While real-time processing is possible with or without block-based scrambling, the block-based approach is particularly beneficial for applications that demand lower latency and reduced memory usage. The effectiveness of the proposed method is validated through simulations on 8K ultra-high-definition (UHD) images.

Details

1009240
Title
Privacy Protection in JPEG XS: A Lightweight Spatio-Color Scrambling Approach
Author
Volume
16
Issue
3
Publication year
2025
Publication date
2025
Publisher
Science and Information (SAI) Organization Limited
Place of publication
West Yorkshire
Country of publication
United Kingdom
ISSN
2158107X
e-ISSN
21565570
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
3192357906
Document URL
https://www.proquest.com/scholarly-journals/privacy-protection-jpeg-xs-lightweight-spatio/docview/3192357906/se-2?accountid=208611
Copyright
© 2025. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-04-22
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic