About Me
I am an image processing and color science researcher working at the intersection of applied optics, remote sensing, and material appearance, with a specific focus on multispectral and hyperspectral imaging, spectrophotometry, BRDF-based material modeling, spatial filtering, and video compression algorithms.
Through my Master's in Advanced Imaging and Material Appearance: Metrology and Modeling (AIMA) at Université Jean Monnet (Faculté des Sciences et Techniques) and the Laboratoire Hubert Curien, part of the Manutech-SLEIGHT Graduate School for light-surface engineering in Saint-Étienne, France, I built a strong foundation in image formation theory, radiometry, colorimetry, and the optical and visual characterization of materials and surfaces. This training shaped my ability to apply optics and computer science together across advanced imaging for aerospace, healthcare and security; material appearance and quality control for automotive, luxury goods and manufacturing; and printed image analysis for graphic arts and secure document printing.
Building on this foundation and a broader background in image sciences, I combine theoretical optics, colorimetry, and programmatic data processing using Python and MATLAB, from laboratory spectral measurement through to complete processing pipelines.
Core Expertise
Multispectral & Hyperspectral Imaging
Acquisition and processing of spectral image cubes; band-by-band reflectance analysis, pigment and material identification (e.g. Spectral Angle Mapper), and spectral data pipelines for remote sensing and heritage/material science applications.
Remote Sensing & Surface Characterization
Radiometric interpretation of surface and material reflectance under varying illumination and viewing geometry, applied to both terrestrial imaging and controlled laboratory measurement setups.
Material Appearance & BRDF Modeling
Measurement and modeling of gloss, translucency, and light–surface interaction (BRDF / subsurface scattering), applied to human skin rendering, automotive finishes, and luxury-goods material quality assessment.
Colorimetry & Spectrophotometry
Color-difference metrics (CIELAB, CIEDE2000) and their coherence with human visual perception, chromaticity measurement under multiple illuminants, and spectrophotometric instrumentation.
Computational Image Processing
Spatial- and frequency-domain filtering, halftoning, optical-flow-based motion detection, and document/image restoration algorithms.
Video & Image Compression
Motion estimation for interframe coding, Fourier/DCT-based transforms for intraframe reduction, and hybrid codec design balancing fidelity against bitrate.
Tools & Methods
Research Papers
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CMY Halftoning Using a Gaussian Function
Jan. 2026 -
Digital Cinema and Image Compression
Jan. 2022 -
Mar. 2021
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Feb. 2020
Software, Code & Research Projects
Program designed to find optimal average thresholding and restore writings/text in degraded document images using spatial convolution.
Desktop application built for automated batch processing, labeling, and counting of objects (such as grains) using variable averages and histogram analysis.
Algorithmic tool operating across individual RGB channels to optimize histogram distribution and correct color balance.
Advanced image processing script utilizing optical flow vectors to isolate and detect temporal motion within video feeds.
Compression program combining motion estimation for interframe compression (H.265 style) and Fourier Transform for intraframe reduction.
Academic publication detailing digital cinema image processing, specifically focusing on Fourier Transform applications for spatial detail reduction.
Interdisciplinary research project translating visual image data into sound frequencies and acoustic spectrums.