Dr. Yousri Ouerhani Profile

Dr. Yousri Ouerhani

at ISEN Brest

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Publications (8)

Proceedings Article | 13 May 2019 Presentation + Paper

Automatic pavement crack classification on two-dimensional VIAPIX images

Wissam Kaddah, Marwa Elbouz, Yousri Ouerhani, Ayman Alfalou, Marc Desthieux

Proceedings Volume 10995, 1099508 (2019) https://doi.org/10.1117/12.2518839

KEYWORDS: Roads, Principal component analysis, Image classification, Image processing, Panoramic photography, Image segmentation, Navigation systems, Lawrencium, Continuous wavelet transforms, Imaging systems

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Proceedings Article | 30 April 2018 Paper

Energy criterion in correlation-based face recognition applications

A. Kouas, M. Elbouz, Y. Ouerhani, A. Alfalou, C. Brosseau, A. Fakhfakh, F. Ghozzi

Proceedings Volume 10649, 1064911 (2018) https://doi.org/10.1117/12.2312500

KEYWORDS: Facial recognition systems, Databases, Buildings, Defense and security, Optical tracking, Optical correlators, Phase only filters, Head, Fuzzy logic, Video surveillance

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Proceedings Article | 30 April 2018 Paper

Road sign identification and geolocation using JTC and VIAPIX module

Yousri Ouerhani, Marwa Elbouz, Ayman Alfalou, Wissam Kaddah, Marc Desthieux

Proceedings Volume 10649, 106490J (2018) https://doi.org/10.1117/12.2312490

KEYWORDS: Roads, Cameras, Global Positioning System, Imaging systems, 3D image processing, Fourier transforms

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Proceedings Article | 24 August 2017 Presentation + Paper

Road mark recognition using HOG-SVM and correlation

Yousri Ouerhani, Ayman Alfalou, Christian Brosseau

Proceedings Volume 10395, 103950Q (2017) https://doi.org/10.1117/12.2273304

KEYWORDS: Roads, Image processing, Calibration, Digital optical processing, Optical signal processing

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Proceedings Article | 20 April 2015 Paper

Numerical implementation of the multiple image optical compression and encryption technique

Y. Ouerhani, M. Aldossari, A. Alfalou, C. Brosseau

Proceedings Volume 9477, 94770M (2015) https://doi.org/10.1117/12.2178523

KEYWORDS: Image compression, Image encryption, Fourier transforms, Image fusion, Image segmentation, Optical image encryption, Optical filters, Multiplexing, Video acceleration, Video

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In this study, we propose a numerical implementation (using a GPU) of an optimized multiple image compression and encryption technique. We first introduce the double optimization procedure for spectrally multiplexing multiple images. This technique is adapted, for a numerical implementation, from a recently proposed optical setup implementing the Fourier transform (FT)¹. The new analysis technique is a combination of a spectral fusion based on the properties of FT, a specific spectral filtering, and a quantization of the remaining encoded frequencies using an optimal number of bits. The spectral plane (containing the information to send and/or to store) is decomposed in several independent areas which are assigned according a specific way. In addition, each spectrum is shifted in order to minimize their overlap. The dual purpose of these operations is to optimize the spectral plane allowing us to keep the low- and high-frequency information (compression) and to introduce an additional noise for reconstructing the images (encryption). Our results show that not only can the control of the spectral plane enhance the number of spectra to be merged, but also that a compromise between the compression rate and the quality of the reconstructed images can be tuned. Spectrally multiplexing multiple images defines a first level of encryption. A second level of encryption based on a real key image is used to reinforce encryption. Additionally, we are concerned with optimizing the compression rate by adapting the size of the spectral block to each target image and decreasing the number of bits required to encode each block. This size adaptation is realized by means of the root-mean-square (RMS) time-frequency criterion². We have found that this size adaptation provides a good trade-off between bandwidth of spectral plane and number of reconstructed output images³. Secondly, the encryption rate is improved by using a real biometric key and randomly changing the rotation angle of each block before spectral fusion. A numerical implementation of this method using two numerical devices (CPU and GPU) is presented⁴.

Proceedings Article | 20 April 2015 Paper

Road sign recognition using Viapix module and correlation

Y. Ouerhani, M. Desthieux, A. Alfalou

Proceedings Volume 9477, 94770H (2015) https://doi.org/10.1117/12.2178520

KEYWORDS: Roads, Panoramic photography, Cameras, Image segmentation, RGB color model, Image filtering, Databases, Phase only filters, Sensors, Navigation systems

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Proceedings Article | 19 February 2013 Paper

Low complexity DCT engine for image and video compression

Maher Jridi, Yousri Ouerhani , Ayman Alfalou

Proceedings Volume 8656, 86560F (2013) https://doi.org/10.1117/12.2006174

KEYWORDS: Image compression, Matrix multiplication, Quantization, Video compression, MATLAB, Computer programming, Field programmable gate arrays, Matrices, Image processing, Image quality

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Proceedings Article | 23 April 2012 Paper

Sensitivity of optical correlation to color change of target images

M. Elbouz, A. Alfalou, C. Brosseau, M. S. Alam, S. Qasmi, Y. Ouerhani

Proceedings Volume 8398, 83980A (2012) https://doi.org/10.1117/12.919768

KEYWORDS: RGB color model, Image filtering, Optical filters, Optical correlators, Phase only filters, Image processing, Composites, Pattern recognition, Target recognition, Color image processing

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Showing 5 of 8 publications

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