Ms. Jenni E. Radun Profile

Jenni E. Radun

Project Researcher at Univ of Helsinki

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Publications (9)

Proceedings Article | 8 February 2015 Paper

Alternative performance metrics and target values for the CID2013 database

J. Radun, Tuomas Leisti, Mikko Nuutinen, T. Virtanen, Jukka Häkkinen

Proceedings Volume 9396, 93960Q (2015) https://doi.org/10.1117/12.2079100

KEYWORDS: Image quality, Databases, Data modeling, Image enhancement, Detection and tracking algorithms, Molybdenum, Distortion, Cameras, Visualization, Digital imaging

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SPIE Journal Paper | 7 August 2014 Open Access

Why is quality estimation judgment fast? Comparison of gaze control strategies in quality and difference estimation tasks

Jenni Radun, Tuomas Leisti, Toni Virtanen, Göte Nyman, Jukka Häkkinen

JEI, Vol. 23, Issue 06, 061103, (August 2014) https://doi.org/10.1117/12.10.1117/1.JEI.23.6.061103

KEYWORDS: Image quality, Visualization, Image processing, Eye, Image analysis, Motion estimation, Visual process modeling, Calibration, Fused deposition modeling, Control systems

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Proceedings Article | 25 January 2012 Paper

How do we watch images? A case of change detection and quality estimation

Göte Nyman, Jenni Radun, Tuomas Leisti, Toni Virtanen

Proceedings Volume 8293, 82930M (2012) https://doi.org/10.1117/12.907046

KEYWORDS: Image quality, Eye, Image analysis, Image processing, Visualization, Photography, Calibration, Cameras, Neodymium, Image information entropy

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Proceedings Article | 19 January 2009 Paper

Subjective experience of image quality: attributes, definitions, and decision making of subjective image quality

Tuomas Leisti, Göte Nyman, Raisa Halonen, Toni Virtanen, Jenni Radun

Proceedings Volume 7242, 72420D (2009) https://doi.org/10.1117/12.807142

KEYWORDS: Image quality, Image processing, Visualization, Visual system, Reliability, Printing, Quality measurement, Photography, Psychology, Image analysis

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Proceedings Article | 28 January 2008 Paper

Forming valid scales for subjective video quality measurement based on a hybrid qualitative/quantitative methodology

S. Suomi, T. Säämänen, G. Nyman, J. Radun, T. Virtanen, P. Lindroos, M. Vaahteranoksa, T. Vuori

Proceedings Volume 6808, 68080M (2008) https://doi.org/10.1117/12.765831

KEYWORDS: Video, Cameras, Image quality, Cell phones, Quality measurement, Molybdenum, Visualization, Light sources and illumination, Video processing, Head

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Proceedings Article | 28 January 2008 Paper

Measuring multivariate subjective image quality for still and video cameras and image processing system components

Jenni Radun, Jean-Luc Olives, Tero Vuori, Toni Virtanen, Sini Suomi, Joni Oja, Paul Lindroos, Göte Nyman, Tuomas Leisti

Proceedings Volume 6808, 68080N (2008) https://doi.org/10.1117/12.766186

KEYWORDS: Image quality, Image processing, Video, Cameras, Imaging systems, Video processing, Photography, Image analysis, Head, Sensors

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Proceedings Article | 28 January 2008 Paper

Measuring stereoscopic image quality experience with interpretation-based quality methodology

Jenni Radun, Tuomas Leisti, Jari Takatalo, Jukka Häkkinen, Takashi Kawai, Göte Nyman, Anni Hirsaho

Proceedings Volume 6808, 68081B (2008) https://doi.org/10.1117/12.760935

KEYWORDS: Image quality, Eye, Stereoscopy, Cameras, Bridges, Mirrors, Photography, 3D image processing, Teeth, Statistical analysis

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Proceedings Article | 29 January 2007 Paper

Audiovisual quality estimation of mobile phone video cameras with interpretation-based quality approach

Göte Nyman, Jenni Radun, Toni Virtanen, Mikko Vaahteranoksa, Tero Vuori, Jean-Luc Olives

Proceedings Volume 6494, 649403 (2007) https://doi.org/10.1117/12.703317

KEYWORDS: Cameras, Video, Image quality, Visualization, Cell phones, Multimedia, Head, Statistical analysis, Video processing, Light sources and illumination

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Proceedings Article | 17 January 2006 Paper

What do users really perceive: probing the subjective image quality

Jukka Häkkinen, Joni Oja, Tero Vuori, Göte Nyman, Tuomas Leisti, Jenni Radun, Jean-Luc Olives, Harri Ojanen

Proceedings Volume 6059, 605902 (2006) https://doi.org/10.1117/12.641612

KEYWORDS: Image quality, Image classification, Image analysis, Cameras, Quality measurement, Image processing, Modulation transfer functions, Molybdenum, Visualization, Product engineering

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Showing 5 of 9 publications

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