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Manuel Cedillo-Hernandez

Researcher at Instituto Politécnico Nacional

Publications -  55
Citations -  544

Manuel Cedillo-Hernandez is an academic researcher from Instituto Politécnico Nacional. The author has contributed to research in topics: Digital watermarking & Watermark. The author has an hindex of 10, co-authored 46 publications receiving 382 citations. Previous affiliations of Manuel Cedillo-Hernandez include National Autonomous University of Mexico.

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Robust watermarking method in DFT domain for effective management of medical imaging

TL;DR: This paper proposes a robust watermarking method for medical images to avoid their detachment from the corresponding EPR data in which the watermark is embedded using the digital imaging and communications in medicine standard metadata together with cryptographic techniques.
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Watermarking-based image authentication with recovery capability using halftoning technique

TL;DR: Two watermarking algorithms for image content authentication with localization and recovery capability of the tampered regions are proposed and are compared with some previously proposed content authentication algorithms with recovery capability to show the better performance of the proposed algorithms.
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Robust hybrid color image watermarking method based on DFT domain and 2D histogram modification

TL;DR: The experimental results show that the proposed hybrid watermarking method provides robustness against several geometric distortions, signal processing operations, combined distortions and photo editing.
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Transcoding resilient video watermarking scheme based on spatio-temporal HVS and DCT

TL;DR: Computer simulation results show the watermark robustness against video transcoding as well as common signal processing operations and intentional attacks for video sequences.
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Improving the management of medical imaging by using robust and secure dual watermarking

TL;DR: A robust and secure medical image watermarking method that involves invisible and zeroWatermarking techniques that provide a proper link between clinical information, medical image, and patient identity and may find applications in the secure and effective management of medical imaging.