Jon Yngve Hardeberg
Bakgrunn og aktiviteter
Jon Yngve Hardeberg (1971) er professor ved Institutt for datateknologi og informatikk ved NTNU i Gjøvik. Han er utdannet sivilingeniør i signalbehandling fra NTNU, og har en doktorgrad i signal- og bildebehandling fra Ecole Nationale Supérieure des Télécommunications i Paris, Frankrike. Han er tilknyttet Fargelaboratoriet (The Norwegian Colour and Visual Computing Laboratory).
Vitenskapelig, faglig og kunstnerisk arbeid
Et utvalg av nyere tidsskriftspublikasjoner, kunstneriske produksjoner, bok, inklusiv bokdeler og rapport-del. Se alle publikasjoner i databasen
Tidsskriftspublikasjoner
- (2020) Image Statistics as Glossiness and Translucency Predictor in Photographs of Real-world Objects. CEUR Workshop Proceedings. vol. 2688.
- (2020) On the Nature of Perceptual Translucency. Proceedings of the Workshop on Material Appearance Modeling.
- (2020) A Probabilistic Bag-to-Class Approach to Multiple-Instance Learning. Data. vol. 5 (2).
- (2020) Three perceptual dimensions for specular and diffuse reflection. ACM Transactions on Applied Perception. vol. 17 (2).
- (2019) Deep Learning Approaches for Whiteboard Image Quality Enhancement. Journal of Imaging Science and Technology. vol. 63 (4).
- (2019) Evaluating the naturalness and legibility of whiteboard image enhancements. IS&T International Symposium on Electronic Imaging Science and Technology. vol. 2019 (14).
- (2019) A Spectral Filter Array Camera for Clinical Monitoring and Diagnosis: Proof of Concept for Skin Oxygenation Imaging. Journal of Imaging. vol. 5(8).
- (2019) An Evaluation Framework for Spectral Filter Array Cameras to Optimize Skin Diagnosis. Sensors. vol. 19 (21).
- (2019) A Metrological Measurement of Texture in Hyperspectral Images Using Relocated Spectral Difference Occurrence Matrix. Proceedings of IEEE international conference on image processing. vol. 2019-September.
- (2019) A Metrological Framework for Hyperspectral Texture Analysis Using Relative Spectral Difference Occurrence Matrix. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing. vol. 2019-September.
- (2019) Spectral-divergence based pigment discrimination and mapping: A case study on The Scream (1893) by Edvard Munch. Journal of the American Institute for Conservation. vol. 58 (1-2).
- (2019) Application of spectral statistics to surface defect detection. Proceedings of SPIE, the International Society for Optical Engineering. vol. 11172.
- (2019) Illuminance Impacts Opacity Perception of Textile Materials. Final program and proceedings (Color and Imaging Conference). vol. 2019.
- (2019) Material Appearance: Ordering and Clustering. IS&T International Symposium on Electronic Imaging Science and Technology.
- (2019) Perceived Glossiness: Beyond Surface Properties. Final program and proceedings (Color and Imaging Conference). vol. 2019.
- (2019) Impact of Shape on Apparent Translucency Differences. Final program and proceedings (Color and Imaging Conference). vol. 2019.
- (2019) Evaluation of adaptive shifted superimposition technique for enhancing the projector resolution. Proceedings of SPIE, the International Society for Optical Engineering. vol. 11145.
- (2019) Multispectral camera as spatio-spectrophotometer under uncontrolled illumination. Optics Express. vol. 27 (2).
- (2019) Comparison of Ink Classification Capabilities of Classic Hyperspectral Similarity Features. Proceedings of 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW).
- (2019) The Impact of Replacing Complex Hand-Crafted Features with Standard Features for Melanoma Classification using Both Hand-Crafted and Deep Features. Advances in Intelligent Systems and Computing. vol. 868.