Steven Le Moan

According to our database, Steven Le Moan authored at least 51 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Hyperspectral Band Clustering for Visualisation.

Steven Le Moan

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Chlorophyll Estimation on Hypso-1 Using Ensemble Machine Learning.

Alvaro Flores-Romero, Steven Le Moan, Joseph L. Garrett, Sivert Bakken

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

A New Dual-Scale Hyperspectral Dataset.

Maximilian Czech, Steven Le Moan, Jon Yngve Hardeberg

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Blind Video Stabilization Quality Assessment based on convolutional LSTM.

Mohamed Riad Yagoubi, Seyed Ali Amirshahi, Steven Le Moan, Azeddine Beghdadi, Erik Rodner

Proceedings of the 11th European Workshop on Visual Information Processing, 2023

2022

A Novel Mean-Shift Algorithm for Data Clustering.

Claude Cariou, Steven Le Moan, Kacem Chehdi

IEEE Access, 2022

2021

A new coefficient estimation method when using PCA for spectral super-resolution.

Yuan Chang, Donald G. Bailey, Steven Le Moan

Proceedings of the 36th International Conference on Image and Vision Computing New Zealand, 2021

2020

Minimax Bridgeness-Based Clustering for Hyperspectral Data.

Steven Le Moan, Claude Cariou

Remote. Sens., 2020

Improving K-Nearest Neighbor Approaches for Density-Based Pixel Clustering in Hyperspectral Remote Sensing Images.

Claude Cariou, Steven Le Moan, Kacem Chehdi

Remote. Sens., 2020

Analysing Arbitrary Curves from the Line Hough Transform.

Donald G. Bailey, Yuan Chang, Steven Le Moan

J. Imaging, 2020

Heating Patterns Recognition in Industrial Microwave-Processed Foods.

Sowmya Kasturi, Steven Le Moan, Donald G. Bailey, Jeremy Smith

Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

High-Level Visual Masking of Image Compression Artefacts.

Steven Le Moan, Marius Pedersen, Aladine Chetouani

Proceedings of the IEEE International Conference on Image Processing, 2020

Gradual Chroma Reduction and High-Level Visual Masking in Videos.

Jim Harvey, Steven Le Moan

Proceedings of the IEEE International Conference on Image Processing, 2020

Prediction Of Chromaticvisualmaskingwithdeeplearning.

Aladine Chetouani, Marius Pedersen, Steven Le Moan

Proceedings of the IEEE International Conference on Image Processing, 2020

Improved Nearest Neighbor Density-Based Clustering Techniques with Application to Hyperspectral Images.

Claude Cariou, Kacem Chehdi, Steven Le Moan

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

A Three-Feature Model to Predict Colour Change Blindness.

Steven Le Moan, Marius Pedersen

CoRR, 2019

RGB Imaging Based Estimation of Leaf Chlorophyll Content.

Yuan Chang, Steven Le Moan, Donald G. Bailey

Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

Sub-Pixel Registration Technique for X-ray Phase Contrast Imaging.

Hamish Bradley, Donald G. Bailey, Steven Le Moan, Peter Gaenz, Sven Simon

Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

Subjective Image Fidelity Assessment: Effect of the Spatial Distance Between Stimuli.

Steven Le Moan, Marius Pedersen

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Color and sharpness assessment of single image dehazing.

Jessica El Khoury, Steven Le Moan, Jean-Baptiste Thomas, Alamin Mansouri

Multim. Tools Appl., 2018

Towards exploiting change blindness for image processing.

Steven Le Moan, Ivar Farup, Jana Blahová

J. Vis. Commun. Image Represent., 2018

Parameter-Free Density Estimation for Hyperspectral Image Clustering.

Steven Le Moan, Claude Cariou

Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

Measuring the Effect of High-Level Visual Masking in Subjective Image Quality Assessment with Priming.

Steven Le Moan, Marius Pedersen

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Lens Distortion Self-Calibration Using the Hough Transform.

Donald G. Bailey, Yuan Chang, Steven Le Moan

Proceedings of the International Conference on Field-Programmable Technology, 2018

2017

Toward the adaptive control of the colour rendering of LED lighting with an RGBW sensor.

Daniel de Waal, Steven Le Moan, Huub Bakker

Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

Comparison of machine learning-based feature pooling strategies for colour image fidelity assessment.

Steven Le Moan, Donald G. Bailey

Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

Can image quality features predict visual change blindness?

Steven Le Moan

Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

Towards a completely blind classifier for hyperspectral images.

Pierre A. Hallé, Steven Le Moan, Claude Cariou

Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

Lens distortion correction by analysing peak shape in Hough transform space.

Yuan Chang, Donald G. Bailey, Steven Le Moan

Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

Evidence of change blindness in subjective image fidelity assessment.

Steven Le Moan, Marius Pedersen

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

How to predict lightness variations from one illuminant to another?

Steven Le Moan

Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

The influence of short-term memory in subjective image quality assessment.

Steven Le Moan, Marius Pedersen, Ivar Farup, Jana Blahová

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Quality Assessment of Spectral Reproductions: The Camera's Perspective.

Steven Le Moan

Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

2015

Exploiting Change Blindness for Image Compression.

Steven Le Moan, Ivar Farup

Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, 2015

Evaluating the multi-scale iCID metric.

Steven Le Moan, Jens Preiss, Philipp Urban

Proceedings of the Image Quality and System Performance XII, 2015

A database for spectral image quality.

Steven Le Moan, Sony George, Marius Pedersen, Jana Blahová, Jon Yngve Hardeberg

Proceedings of the Image Quality and System Performance XII, 2015

2014

Image-Difference Prediction: From Color to Spectral.

Steven Le Moan, Philipp Urban

IEEE Trans. Image Process., 2014

Spectral printing with a CMYKRGB printer: a closer look.

Steven Le Moan, Philipp Urban

Proceedings of the 22nd Color and Imaging Conference, 2014

A new connection space for low-dimensional spectral color management.

Steven Le Moan, Philipp Urban

Proceedings of the Measuring, 2014

2013

Saliency for Spectral Image Analysis.

Steven Le Moan, Alamin Mansouri, Jon Yngve Hardeberg, Yvon Voisin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Image Quality and Change of Illuminant: An Information-Theoretic Evaluation.

Steven Le Moan, Philipp Urban

Proceedings of the 21st Color and Imaging Conference, 2013

Evaluating the perceived quality of spectral images.

Steven Le Moan, Philipp Urban

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Réduction de dimensionalité et saillance pour la visualisation d'images spectrales. (Dimensionality reduction and saliency for spectral image visualization).

Steven Le Moan

PhD thesis, 2012

Salient Pixels and Dimensionality Reduction for Display of Multi/Hyperspectral Images.

Steven Le Moan, Ferdinand Deger, Alamin Mansouri, Yvon Voisin, Jon Yngve Hardeberg

Proceedings of the Image and Signal Processing - 5th International Conference, 2012

2011

A Constrained Band Selection Method Based on Information Measures for Spectral Image Color Visualization.

Steven Le Moan, Alamin Mansouri, Yvon Voisin, Jon Yngve Hardeberg

IEEE Trans. Geosci. Remote. Sens., 2011

BandClust: An Unsupervised Band Reduction Method for Hyperspectral Remote Sensing.

Claude Cariou, Kacem Chehdi, Steven Le Moan

IEEE Geosci. Remote. Sens. Lett., 2011

Saliency in Spectral Images.

Steven Le Moan, Alamin Mansouri, Jon Yngve Hardeberg, Yvon Voisin

Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

Saliency-Based Band Selection For Spectral Image Visualization.

Steven Le Moan, Alamin Mansouri, Jon Yngve Hardeberg, Yvon Voisin

Proceedings of the 19th Color and Imaging Conference, 2011

Spatially Variant Dimensionality Reduction for the Visualization of Multi/Hyperspectral Images.

Steven Le Moan, Alamin Mansouri, Yvon Voisin, Jon Yngve Hardeberg

Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011

2010

An Efficient Method for the Visualization of Spectral Images Based on a Perception-Oriented Spectrum Segmentation.

Steven Le Moan, Alamin Mansouri, Yvon Voisin, Jon Yngve Hardeberg

Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

A class-separability-based method for multi/hyperspectral image color visualization.

Steven Le Moan, Alamin Mansouri, Jon Yngve Hardeberg, Yvon Voisin

Proceedings of the International Conference on Image Processing, 2010

Convex Objects Recognition and Classification Using Spectral and Morphological Descriptors.

Steven Le Moan, Alamin Mansouri, Tadeusz Sliwa, Madaín Pérez Patricio, Yvon Voisin, Jon Yngve Hardeberg

Proceedings of the 5th European Conference on Colour in Graphics, 2010