20 citations · 25 across the 9 of their papers we have counts for
10 papers
Fast Autofocusing using Tiny Transformer Networks for Digital Holographic Microscopy
Stéphane Cuenat, Louis Andréoli, Antoine N. André +4
The numerical wavefront backpropagation principle of digital holography confers unique extended focus capabilities, without mechanical displacements along z-axis. However, the dete…
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
Alain Lalande, Zhihao Chen, Thibaut Pommier +30
A key factor for assessing the state of the heart after myocardial infarction (MI) is to measure whether the myocardium segment is viable after reperfusion or revascularization the…
Convolutional Neural Network (CNN) vs Vision Transformer (ViT) for Digital Holography
Stéphane Cuenat, Raphaël Couturier
In Digital Holography (DH), it is crucial to extract the object distance from a hologram in order to reconstruct its amplitude and phase. This step is called auto-focusing and it i…
A Deep Learning Scheme for Efficient Multimedia IoT Data Compression
Hassan N. Noura, Ola Salman, Raphaël Couturier
Given the voluminous nature of the multimedia sensed data, the Multimedia Internet of Things (MIoT) devices and networks will present several limitations in terms of power and comm…
A Revision of a New Chaos-Based Image Encryption System: Weaknesses and Limitations
Hassan Noura, Lama Sleem, Raphaël Couturier
Lately, multimedia encryption has been the focus of attention in many researches. Recently, a large number of encryption algorithms has been presented to protect image contents.The…
Improving Blind Steganalysis in Spatial Domain using a Criterion to Choose the Appropriate Steganalyzer between CNN and SRM+EC
Jean-Francois Couchot, Raphaël Couturier, Michel Salomon
Conventional state-of-the-art image steganalysis approaches usually consist of a classifier trained with features provided by rich image models. As both features extraction and cla…
A Second Order Derivatives based Approach for Steganography
Jean-François Couchot, Raphaël Couturier, Yousra Ahmed Fadil +1
Steganography schemes are designed with the objective of minimizing a defined distortion function. In most existing state of the art approaches, this distortion function is based o…
Steganalyzer performances in operational contexts
Yousra A. Fadil, Jean-François Couchot, Raphaël Couturier +1
Steganography and steganalysis are two important branches of the information hiding field of research. Steganography methods consist in hiding information in such a way that the se…
Steganalysis via a Convolutional Neural Network using Large Convolution Filters for Embedding Process with Same Stego Key
Jean-François Couchot, Raphaël Couturier, Christophe Guyeux +1
For the past few years, in the race between image steganography and steganalysis, deep learning has emerged as a very promising alternative to steganalyzer approaches based on rich…
Efficient and Cryptographically Secure Generation of Chaotic Pseudorandom Numbers on GPU
Jacques M. Bahi, Raphaël Couturier, Christophe Guyeux +1
In this paper we present a new pseudorandom number generator (PRNG) on graphics processing units (GPU). This PRNG is based on the so-called chaotic iterations. It is firstly proven…