Results 121 to 130 of about 1,251 (171)

The Sentinel Phenotype: a theoretical bioenergetic and neurobiological framework for high-fidelity predictive systems (HEPOE Theory). [PDF]

Front Neurosci
Brezolin CLM, de Freitas SB.
europepmc   +1 more source

Quantum optimized hierarchical chunk encoding with robust embedding for perceptual integrity and compression tolerant visual data protection. [PDF]

Sci Rep
Suresh G, Kumar JA, Perumal VK, Ramkumar S.   +3 more
europepmc   +1 more source

Semantic lossless encoded image representation for malware classification. [PDF]

Sci Rep
Yu Y, Cai B, Aziz K, Wang X, Luo J, Iqbal MS, Chakrabarti P, Chakrabarti T.   +7 more
europepmc   +1 more source

SCD-CHAOS: dynamic S-box and chaotic hybrid adaptive image encryption using multi-map diffusion. [PDF]

Sci Rep
Yogi B, Majumdar R, Ghosh P, Sharma L, Roy S.   +4 more
europepmc   +1 more source

Neurophysiology Signal Codecs for the DICOM^® Standard: Preliminary Results. [PDF]

IEEE Int Symp Med Meas Appl
Battaglia F, Galanti M, Gugliandolo G, Rampp S, Remi J, Parashos A, Sharma S, Bhatia S, Dean BC, Kutluay E, Campbell Z, Schmitt S, Donato N, Halford JJ, Campobello G.   +14 more
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Convolutional neural network and wavelet composite against geometric attacks a watermarking approach. [PDF]

Sci Rep
Lakshmi C, Nithya C, Sivaraman R, Sridevi A, Santhiyadevi R, Ravichandran D, Banu SA, Mahalingam H, Meikandan PV, Amirtharajan R.   +9 more
europepmc   +1 more source

The Algorithmic Regulator. [PDF]

Entropy (Basel)
Ruffini G.
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A lossless self-recovery watermarking scheme with JPEG-LS compression

Journal of Information Security and Applications, 2021
Abstract Due to the rapid development of application for medical images in recent years, the security of medical images becomes more vital. In this paper, a fragile watermarking scheme for medical images is proposed. The proposed scheme first divides the whole medical image into ROI (Regions of Interest) and RONI (Regions of Non-interest).
Gao Tiegang
exaly   +2 more sources

A novel mapping-based lossless recovery algorithm for VSS

Journal of Real-Time Image Processing, 2016
The disadvantages of the existing lossless recovery algorithms in visual secret sharing (VSS) are that n shadow images or complex computation operation (i.e., Lagrange interpolations) is required in the recovering phase. Inspired by this, a novel mapping-based lossless recovery algorithm (MbLRA) for VSS is proposed in this paper. MbLRA at least has two
Shen Wang, Weizhe Zhang
exaly   +2 more sources