Ayman AL FALOU

Ayman AL FALOU


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 August 2020 in Sensors
Verified
Journal Article
Open access
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JHJaouad Hajjami
Jaouad Hajjami
Thibault NapoléonThibault Napoléon
Thibault Napoléon
AFAyman AL FALOU
Ayman AL FALOU
In this article, we present a new method of dehazing based on the Koschmieder model, which aims to restore an image that has been affected by haze. The difficulty is to improve the estimation of the transmission and the atmospheric light that generally suffer from the nonhomogeneity and the random variability of the environment. The keypoint is to enhance the dehazing of very bright regions of the image in order to improve the treatment of the sky that is often overestimated or underestimated compared to the rest of the scene. The approach proposed in this paper is based on two main contributions: 1. an L0 gradient optimization function weighted by a set of Gaussian filters and based on an iterative algorithm for optimization convergence. Unlike the existing methods using a single value of the atmospheric light for the whole image, our method uses a set of values neighboring an initial estimated value. The fusion is then applied based on Laplacian and Gaussian pyramids to combine all the relevant information from the set of images constructed from atmospheric lights and improves the contrast to recover the colors of the sky without any artifacts. Finally, the results are validated by three criteria: an autocorrelation score (ZNCC), a similarity measure (SSIM) and a visual criterion. The experiments carried out on two datasets show that our approach allows a better dehazing of the images with higher SSIM and ZNCC measurements but also with better visual quality.

5 May 2022 in Optics Express
Verified
Journal Article
Closed access
CDChachoua Marwan DhiyaEddine
Chachoua Marwan DhiyaEddine
HRHamdi Rachid
Hamdi Rachid
AFAyman AL FALOU
Ayman AL FALOU
HAHalassi Abderezzaq
Halassi Abderezzaq
BBBenkelfat Badr-Eddine
Benkelfat Badr-Eddine
In this paper, we propose a tailored dual polarization encryption scheme (T-DPES) based on a polarization encoding of input target images into a same predefined uniformly distributed noisy output image, using Mueller–Stokes's formalism. The optical encryption setup, based on a polarizer and a pixelated polarizer, uses a random image key as a first key and a pixelated polarizer as a second key. This key depends on the input image, the image key and the predefined uniformly distributed noisy output image. The decryption process is carried out, for the first time to our knowledge, optically by combining the coherence modulation to the DPES scheme. The performance evaluation and the crypto-analyze of T-DPES show their strength and robustness against attacks, thus overcoming limitations of previous optical encryption techniques.