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Sony George

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Professor

Norwegian University of Science and Technology

Norway

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Professors in Norway Professors in Medical Imaging Medical Imaging professors in Norway

About

Sony George is an Associate Professor at the Norwegian University of Science and Technology, Norway. His research primarily focuses on hyperspectral imaging applications in various fields, including agriculture, archaeology, and art conservation. Recent articles authored by Professor George explore topics such as bruise detection in strawberries, historical glass corrosion, and pigment classification algorithms, highlighting his expertise in imaging spectroscopy and its practical applications.

Recent Grants

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Cultural Heritage Analysis for New GEnerations

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Articles (21)

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2026

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Collaborators (4)

Laurent Bigué

Full Professor

Université de Haute-Alsace

FRANCE

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Federico Grillini

Københavns Universitet

DENMARK

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Pierre-Jean Lapray

Associate professor

Université de Haute-Alsace

FRANCE

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Jon Yngve Hardeberg

Professor

Norwegian University of Science and Technology

NORWAY

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Sony George

Research Interests

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About

Recent Grants

Articles (21)

Mobile Phone Color Accuracy for Practical Cultural Heritage Imaging

Early detection of aflatoxin in chilli using hyperspectral imaging with a Dual Attention Network

SS-CNN BruiseFinder: Hyperspectral imaging and CNN-driven spatial-spectral fusion for non-destructive plum bruise analysis

Early bruise detection, classification and prediction in strawberry using Vis-NIR hyperspectral imaging

Application of hyperspectral imaging for characterization of VOC-induced historical glass corrosion

Reflectance imaging spectroscopy for the study of archaeological pre-Columbian textiles

Relationship between reflectance and degree of polarization in the VNIR-SWIR: A case study on art paintings with polarimetric reflectance imaging spectroscopy

Hyperspectral fruit image restoration using non-convex optimization

Tensor decomposition for painting analysis. Part 2: spatio-temporal simulation

Tensor decomposition for painting analysis. Part 1: pigment characterization

A Nonconvex Low Rank and Sparse Constrained Multiview Subspace Clustering via $l_{\frac{1}{2}}$-Induced Tensor Nuclear Norm

Acquisition strategies for in-situ hyperspectral imaging of stained-glass windows: case studies from the Swiss National Museum

An Experiment-based Comparative Analysis of Pigment Classification Algorithms using Hyperspectral Imaging

Comparison of Pigment Classification Algorithms on Non-Flat Surfaces using Hyperspectral Imaging

Impact of processing parameters on the quality attributes of spray-dried powders: a review

Comparison of Hyperspectral Imaging and Fiber-Optic Reflectance Spectroscopy for Reflectance and Transmittance Measurements of Colored Glass

Isolated Handwritten Character Recognition of Ancient Hebrew Manuscripts

Classification of forensic hyperspectral paper data using hybrid spectral similarity algorithms

A Comprehensive Tensor Framework for the Clustering of Hyperspectral Paper Data With an Application to Forensic Document Analysis

A Robust Tensor-Based Submodule Clustering for Imaging Data Using l12 Regularization and Simultaneous Noise Recovery via Sparse and Low Rank Decomposition Approach

Estimation of strawberry firmness using hyperspectral imaging: a comparison of regression models

Collaborators (4)

Laurent Bigué

Federico Grillini

Pierre-Jean Lapray

Jon Yngve Hardeberg

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