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William Puech
Researcher at Centre national de la recherche scientifique
Publications - 299
Citations - 3278
William Puech is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Encryption & Information hiding. The author has an hindex of 24, co-authored 281 publications receiving 2703 citations. Previous affiliations of William Puech include University of the South, Toulon-Var & University of Montpellier.
Papers
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Journal ArticleDOI
An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images
Pauline Puteaux,William Puech +1 more
TL;DR: This paper proposes a new reversible method based on MSB (most significant bit) prediction with a very high capacity, which is better than current state of the art methods, both in terms of reconstructed image quality and embedding capacity.
Proceedings ArticleDOI
A Reversible Data Hiding Method for Encrypted Images
TL;DR: An analysis of the local standard deviation of the marked encrypted images is proposed in order to remove the embedded data during the decryption step, and the obtained results are shown and analyzed.
Journal ArticleDOI
Fast Protection of H.264/AVC by Selective Encryption of CAVLC and CABAC for I and P Frames
TL;DR: A novel method for the protection of bitstreams of state-of-the-art video codec H.264/AVC by keeping exactly the same bitrate, generating completely compliant bitstream and utilizing negligible computational power is presented.
Journal ArticleDOI
Advanced full-waveform lidar data echo detection: Assessing quality of derived terrain and tree height models in an alpine coniferous forest
Adrien Chauve,Cédric Vega,Sylvie Durrieu,Frédéric Bretar,Tristan Allouis,M. Pierrot Deseilligny,William Puech +6 more
TL;DR: In this article, the authors presented a new processing method based on the decomposition of waveforms into a sum of parametric functions, which consists of an enhanced peak detection algorithm combined with advanced echo modeling including Gaussian and generalized Gaussian models.
Journal ArticleDOI
Two-Level QR Code for Private Message Sharing and Document Authentication
Iuliia Tkachenko,William Puech,Christophe Destruel,Olivier Strauss,Jean-Marc Gaudin,Christian Guichard +5 more
TL;DR: A new rich QR code that has two storage levels and can be used for document authentication that is readable by any classical QR code application and shows a perfect restoration of private information.