Contact details +64 (06) 356 9099  ext. 84168

Dr Steven Le Moan

Lecturer in Electronics, Information and Communication Systems

School of Food and Advanced Technology

Professional

Contact details

  • Location: C1.105, Riddet
    Campus: Palmerston North

Research Expertise

Research Interests

Image analysis
Visual perception
Colour Science
Hyperspectral imaging
Unsupervised Machine Learning

Area of Expertise

Field of research codes
Artificial Intelligence and Image Processing (080100): Computer Vision (080104):
Electrical and Electronic Engineering (090600): Engineering (090000):
Image Processing (080106): Information And Computing Sciences (080000): Pattern Recognition and Data Mining (080109):
Signal Processing (090609):
Simulation and Modelling (080110)

Research Projects

Summary of Research Projects

Position Current Completed
Project Leader 2 1

Research Outputs

Journal

Le Moan, S., Farup, I., & Blahova, J. (2018). Towards Exploiting Visual Change Blindness for Image Processing. Journal of Visual Communication and Image Representation.
[Journal article]Authored by: Le Moan, S.
El-Khoury, J., Le Moan, SY., Thomas, JB., & Mansouri, A. (2017). Color and sharpness assessment of single image dehazing. Multimedia Tools and Applications. , 1-22
[Journal article]Authored by: Le Moan, S.
Le Moan, SY., Tanksale, TM., Byshko, R., & Urban, P. (2017). An observer-metamerism sensitivity index for electronic displays. Journal of the Society for Information Display. 25(9), 554-560
[Journal article]Authored by: Le Moan, S.
Le Moan, SY., Blahova, J., Urban, P., & Norberg, O. (2016). Five dimensions for spectral colour management. Journal of Imaging Science and Technology. 60(6), 60501-1-60501-9
[Journal article]Authored by: Le Moan, S.
Le Moan, S., & Urban, P. (2014). Image-difference prediction: From color to spectral. IEEE Transactions on Image Processing. 23(5), 2058-2068
[Journal article]Authored by: Le Moan, S.
Le Moan, S., Mansouri, A., Hardeberg, JY., & Voisin, Y. (2013). Saliency for spectral image analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(6), 2472-2479
[Journal article]Authored by: Le Moan, S.
Le Moan, S., Mansouri, A., Voisin, Y., & Hardeberg, JY. (2011). A Constrained Band Selection Method Based on Information Measures for Spectral Image Color Visualization. IEEE Transactions on Geoscience and Remote Sensing.
[Journal article]Authored by: Le Moan, S.
Cariou, C., Chehdi, K., & Le Moan, SY. (2010). Bandclust: An Unsupervised Band Reduction Method for Hyperspectral Remote Sensing. IEEE Geoscience and Remote Sensing Letters.
[Journal article]Authored by: Le Moan, S.

Conference

Le Moan, SY., & Pedersen, M.Evidence of change blindness in subjective image fidelity assessment. . Beijing, China
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY.(2016). Quality assessment of spectral reproductions: The camera’s perspective. . Porto, Portugal
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY.How to predict lightness variations from one illuminant to another?. Paper presented at the meeting of 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). Palmerston North, New Zealand
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., Pedersen, M., Farup, I., & Blahova, J.(2016, September). The influence of short-term memory in subjective image quality assessment. 2016 IEEE International Conference on Image Processing. (pp. 91 - 95).
[Conference]Authored by: Le Moan, S.
Le Moan, SY., George, S., Pedersen, M., Blahová, J., & Hardeberg, JY.A database for spectral image quality. . San Francisco, United States of America
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., Urban, P., & Preiss, J.(2015). Evaluating the multi-scale iCID metric. . San Fransisco, United States of America
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., & Coppel, LG.Perceived Quality of Printed Images on Fluorescing Substrates under Various Illuminations. . Tokyo, Japan
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., & Farup, I.Exploiting change blindness for image compression. Paper presented at the meeting of 11th International Conference on Signal-Image Technology and Internet-Based Systems. Bangkok, Thailand
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., & Urban, P.Spectral printing with a CMYKRGB printer: A closer look. . Boston, United States of America
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., Gustafsson Coppel, L., Zitinski Elias, P., Slavuj, R., & Hardeberg, JY.Next Generation Printing - Towards Spectral Proofing. . UK
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., & Urban, P.(2014, February). A new connection space for low-dimensional spectral color management. . Retreived from https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9018/1/A-new-connection-space-for-low-dimensional-spectral-color-management/10.1117/12.2041450.short
[Conference]Authored by: Le Moan, S.
Le Moan, SY., & Urban, P.Image quality and change of illuminant: An information-theoretic evaluation. . Albuquerque, New Mexico, USA
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., & Urban, P.Evaluating the perceived quality of spectral images. . Melbourne, Australia
[Conference Paper]Authored by: Le Moan, S.
Blahová, J., Le Moan, SY., & Urban, P.(2013, September). The impact of illumination on the perceived quality of spectral reproductions. .
[Conference]Authored by: Le Moan, S.
Hardeberg, JY., Le Moan, SY., Nersveen, J., & Sårheim, H.Eye disease simulator – How do we see the world when vision is failing?. . Oslo, Norway
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., Deger, F., Mansouri, A., Voisin, Y., & Hardeberg, JY.Salient pixels and dimensionality reduction for display of multi/hyperspectral images. . Morocco
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., Mansouri, A., Hardeberg, JY., & Voisin, Y.Saliency-based band selection for spectral image visualization. . USA
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., Mansouri, A., Hardeberg, JY., & Voisin, Y.Visualization of spectral images: a comparative study. . Norway
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., Mansouri, A., Voisin, Y., & Hardeberg, JY.(2011, June). Spatially variant dimensionality reduction for the visualization of multi/hyperspectral images. .
[Conference]Authored by: Le Moan, S.
Le Moan, SY., Mansouri, A., Hardeberg, JY., & Voisin, Y.Saliency in spectral images. . Sweden
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., Mansouri, A., Voisin, Y., & Hardeberg, JY.An efficient method for the visualization of spectral images based on a perception-oriented spectrum segmentation. . Las Vegas
[Conference Paper]Authored by: Le Moan, S.
Le Moan, SY., Mansouri, A., Hardeberg, JY., & Voisin, Y.(2010, September). A class-separability-based method for multi/hyperspectral image color visualization. .
[Conference]Authored by: Le Moan, S.
Le Moan, SY., Mansouri, A., Voisin, Y., & Hardeberg, JY.(2010, June). Convex objects recognition and classification using spectral and morphological descriptors. .
[Conference]Authored by: Le Moan, S.

Supervision and Teaching

Summary of Doctoral Supervision

Position Current Completed
Co-supervisor 1 0

Courses Coordinated

Current Doctoral Supervision

Co-supervisor of:

  • Yuan Chang - Doctor of Philosophy
    Low cost hyperspectral imaging

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