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2020 – today
- 2024
[c40]Mitra Amiri, Steven Le Moan, Christian Herglotz:
Exploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study. QoMEX 2024: 43-49- 2023
- [c39]Mohamed Riad Yagoubi, Seyed Ali Amirshahi, Steven Le Moan, Azeddine Beghdadi, Erik Rodner:
Blind Video Stabilization Quality Assessment based on convolutional LSTM. EUVIP 2023: 1-6 - [c38]Maximilian Czech, Steven Le Moan, Jon Yngve Hardeberg:
A New Dual-Scale Hyperspectral Dataset. WHISPERS 2023: 1-5 - [c37]Alvaro Flores-Romero, Steven Le Moan, Joseph L. Garrett, Sivert Bakken:
Chlorophyll Estimation on Hypso-1 Using Ensemble Machine Learning. WHISPERS 2023: 1-5 - [c36]Steven Le Moan:
Hyperspectral Band Clustering for Visualisation. WHISPERS 2023: 1-5 - 2022
- [j10]Claude Cariou
, Steven Le Moan, Kacem Chehdi:
A Novel Mean-Shift Algorithm for Data Clustering. IEEE Access 10: 14575-14585 (2022) - 2021
- [c35]Yuan Chang, Donald G. Bailey, Steven Le Moan:
A new coefficient estimation method when using PCA for spectral super-resolution. IVCNZ 2021: 1-6 - 2020
- [j9]Donald G. Bailey, Yuan Chang, Steven Le Moan:
Analysing Arbitrary Curves from the Line Hough Transform. J. Imaging 6(4): 26 (2020) - [j8]Steven Le Moan, Claude Cariou:
Minimax Bridgeness-Based Clustering for Hyperspectral Data. Remote. Sens. 12(7): 1162 (2020) - [j7]Claude Cariou, Steven Le Moan, Kacem Chehdi:
Improving K-Nearest Neighbor Approaches for Density-Based Pixel Clustering in Hyperspectral Remote Sensing Images. Remote. Sens. 12(22): 3745 (2020) - [c34]Claude Cariou, Kacem Chehdi, Steven Le Moan:
Improved Nearest Neighbor Density-Based Clustering Techniques with Application to Hyperspectral Images. ICASSP 2020: 4127-4131 - [c33]Aladine Chetouani, Marius Pedersen, Steven Le Moan:
Prediction Of Chromaticvisualmaskingwithdeeplearning. ICIP 2020: 146-150 - [c32]Jim Harvey, Steven Le Moan:
Gradual Chroma Reduction and High-Level Visual Masking in Videos. ICIP 2020: 151-155 - [c31]Steven Le Moan, Marius Pedersen, Aladine Chetouani:
High-Level Visual Masking of Image Compression Artefacts. ICIP 2020: 166-170 - [c30]Sowmya Kasturi, Steven Le Moan, Donald G. Bailey, Jeremy Smith:
Heating Patterns Recognition in Industrial Microwave-Processed Foods. IVCNZ 2020: 1-5
2010 – 2019
- 2019
- [c29]Steven Le Moan, Marius Pedersen:
Subjective Image Fidelity Assessment: Effect of the Spatial Distance Between Stimuli. ICIP 2019: 445-449 - [c28]Hamish Bradley, Donald G. Bailey, Steven Le Moan, Peter Gaenz, Sven Simon:
Sub-Pixel Registration Technique for X-ray Phase Contrast Imaging. IVCNZ 2019: 1-5 - [c27]Yuan Chang, Steven Le Moan, Donald G. Bailey:
RGB Imaging Based Estimation of Leaf Chlorophyll Content. IVCNZ 2019: 1-6 - [i1]Steven Le Moan, Marius Pedersen:
A Three-Feature Model to Predict Colour Change Blindness. CoRR abs/1909.04147 (2019) - 2018
- [j6]Steven Le Moan, Ivar Farup, Jana Blahová:
Towards exploiting change blindness for image processing. J. Vis. Commun. Image Represent. 54: 31-38 (2018) - [j5]Jessica El Khoury, Steven Le Moan, Jean-Baptiste Thomas, Alamin Mansouri:
Color and sharpness assessment of single image dehazing. Multim. Tools Appl. 77(12): 15409-15430 (2018) - [c26]Donald G. Bailey, Yuan Chang, Steven Le Moan:
Lens Distortion Self-Calibration Using the Hough Transform. FPT 2018: 385-388 - [c25]Steven Le Moan, Marius Pedersen:
Measuring the Effect of High-Level Visual Masking in Subjective Image Quality Assessment with Priming. ICIP 2018: 3553-3557 - [c24]Steven Le Moan, Claude Cariou:
Parameter-Free Density Estimation for Hyperspectral Image Clustering. IVCNZ 2018: 1-6 - 2017
- [c23]Steven Le Moan, Marius Pedersen:
Evidence of change blindness in subjective image fidelity assessment. ICIP 2017: 3155-3159 - [c22]Yuan Chang, Donald G. Bailey, Steven Le Moan:
Lens distortion correction by analysing peak shape in Hough transform space. IVCNZ 2017: 1-6 - [c21]Pierre A. Hallé, Steven Le Moan, Claude Cariou:
Towards a completely blind classifier for hyperspectral images. IVCNZ 2017: 1-6 - [c20]Steven Le Moan:
Can image quality features predict visual change blindness? IVCNZ 2017: 1-5 - [c19]Steven Le Moan, Donald G. Bailey:
Comparison of machine learning-based feature pooling strategies for colour image fidelity assessment. IVCNZ 2017: 1-5 - [c18]Daniel de Waal, Steven Le Moan, Huub Bakker:
Toward the adaptive control of the colour rendering of LED lighting with an RGBW sensor. IVCNZ 2017: 1-5 - 2016
- [c17]Steven Le Moan:
Quality Assessment of Spectral Reproductions: The Camera's Perspective. ICIAR 2016: 141-147 - [c16]Steven Le Moan, Marius Pedersen, Ivar Farup, Jana Blahová:
The influence of short-term memory in subjective image quality assessment. ICIP 2016: 91-95 - [c15]Steven Le Moan:
How to predict lightness variations from one illuminant to another? IVCNZ 2016: 1-5 - 2015
- [c14]Steven Le Moan, Sony George, Marius Pedersen, Jana Blahová, Jon Yngve Hardeberg:
A database for spectral image quality. IQSP 2015: 93960P - [c13]Steven Le Moan, Jens Preiss, Philipp Urban:
Evaluating the multi-scale iCID metric. IQSP 2015: 939612 - [c12]Steven Le Moan, Ivar Farup:
Exploiting Change Blindness for Image Compression. SITIS 2015: 89-95 - 2014
- [j4]Steven Le Moan, Philipp Urban:
Image-Difference Prediction: From Color to Spectral. IEEE Trans. Image Process. 23(5): 2058-2068 (2014) - [c11]Steven Le Moan, Philipp Urban:
A new connection space for low-dimensional spectral color management. Measuring, Modeling, and Reproducing Material Appearance 2014: 90180E - [c10]Steven Le Moan, Philipp Urban:
Spectral printing with a CMYKRGB printer: a closer look. CIC 2014: 131-135 - 2013
- [j3]Steven Le Moan, Alamin Mansouri, Jon Yngve Hardeberg, Yvon Voisin:
Saliency for Spectral Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(6): 2472-2479 (2013) - [c9]Steven Le Moan, Philipp Urban:
Evaluating the perceived quality of spectral images. ICIP 2013: 2024-2028 - [c8]Steven Le Moan, Philipp Urban:
Image Quality and Change of Illuminant: An Information-Theoretic Evaluation. CIC 2013: 102-107 - 2012
- [b1]Steven Le Moan:
Réduction de dimensionalité et saillance pour la visualisation d'images spectrales. (Dimensionality reduction and saliency for spectral image visualization). University of Burgundy, Dijon, France, 2012 - [c7]Steven Le Moan, Ferdinand Deger, Alamin Mansouri, Yvon Voisin, Jon Yngve Hardeberg:
Salient Pixels and Dimensionality Reduction for Display of Multi/Hyperspectral Images. ICISP 2012: 9-16 - 2011
- [j2]Claude Cariou, Kacem Chehdi, Steven Le Moan:
BandClust: An Unsupervised Band Reduction Method for Hyperspectral Remote Sensing. IEEE Geosci. Remote. Sens. Lett. 8(3): 565-569 (2011) - [j1]Steven Le Moan, Alamin Mansouri, Yvon Voisin, Jon Yngve Hardeberg:
A Constrained Band Selection Method Based on Information Measures for Spectral Image Color Visualization. IEEE Trans. Geosci. Remote. Sens. 49(12): 5104-5115 (2011) - [c6]Steven Le Moan, Alamin Mansouri, Yvon Voisin, Jon Yngve Hardeberg:
Spatially Variant Dimensionality Reduction for the Visualization of Multi/Hyperspectral Images. ICIAR (1) 2011: 375-384 - [c5]Steven Le Moan, Alamin Mansouri, Jon Yngve Hardeberg, Yvon Voisin:
Saliency-Based Band Selection For Spectral Image Visualization. CIC 2011: 363-368 - [c4]Steven Le Moan, Alamin Mansouri, Jon Yngve Hardeberg, Yvon Voisin:
Saliency in Spectral Images. SCIA 2011: 114-123 - 2010
- [c3]Steven Le Moan, Alamin Mansouri, Tadeusz Sliwa, Madaín Pérez Patricio, Yvon Voisin, Jon Yngve Hardeberg:
Convex Objects Recognition and Classification Using Spectral and Morphological Descriptors. CGIV/MCS 2010: 293-299 - [c2]Steven Le Moan, Alamin Mansouri, Jon Yngve Hardeberg, Yvon Voisin:
A class-separability-based method for multi/hyperspectral image color visualization. ICIP 2010: 1321-1324 - [c1]Steven Le Moan, Alamin Mansouri, Yvon Voisin, Jon Yngve Hardeberg:
An Efficient Method for the Visualization of Spectral Images Based on a Perception-Oriented Spectrum Segmentation. ISVC (1) 2010: 361-370
Coauthor Index
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