Mikko Nuutinen
Mikko Nuutinen
Senior Data Scientist
Verified email at nhg.fi - Homepage
Cited by
Cited by
Method for measuring stereo camera depth accuracy based on stereoscopic vision
M Kytö, M Nuutinen, P Oittinen
Three-Dimensional Imaging, Interaction, and Measurement 7864, 78640I, 2011
CID2013: A database for evaluating no-reference image quality assessment algorithms
T Virtanen, M Nuutinen, M Vaahteranoksa, P Oittinen, J Häkkinen
IEEE Transactions on Image Processing 24 (1), 390-402, 2014
CVD2014—A database for evaluating no-reference video quality assessment algorithms
M Nuutinen, T Virtanen, M Vaahteranoksa, T Vuori, P Oittinen, J Häkkinen
IEEE Transactions on Image Processing 25 (7), 3073-3086, 2016
Method for evaluating tone mapping operators for natural high dynamic range images
M Kuhna, M Nuutinen, P Oittinen
Digital Photography VII 7876, 78760O, 2011
A framework for measuring sharpness in natural images captured by digital cameras based on reference image and local areas
M Nuutinen, O Orenius, T Säämänen, P Oittinen
EURASIP Journal on Image and Video Processing 2012 (1), 8, 2012
Image feature subsets for predicting the quality of consumer camera images and identifying quality dimensions
M Nuutinen, T Virtanen, P Oittinen
Journal of Electronic Imaging 23 (6), 061111, 2014
A new method for evaluating the subjective image quality of photographs: dynamic reference
M Nuutinen, T Virtanen, T Leisti, T Mustonen, J Radun, J Häkkinen
Multimedia Tools and Applications 75 (4), 2367-2391, 2016
VQone MATLAB toolbox: A graphical experiment builder for image and video quality evaluations
M Nuutinen, T Virtanen, O Rummukainen, J Häkkinen
Behavior research methods 48 (1), 138-150, 2016
Development and measurement of the goodness of test images for visual print quality evaluation
R Halonen, M Nuutinen, R Asikainen, P Oittinen
Image Quality and System Performance VII 7529, 752909, 2010
Development and validation of classifiers and variable subsets for predicting nursing home admission
M Nuutinen, RL Leskelä, E Suojalehto, A Tirronen, V Komssi
BMC Medical Informatics and Decision Making 17 (1), 39, 2017
Comparison of colour difference methods for natural images
H Kivinen, M Nuutinen, P Oittinen
Conference on Colour in Graphics, Imaging, and Vision 2010 (1), 510-515, 2010
Individual differences in image-quality estimations: Estimation rules and viewing strategies
J Radun, M Nuutinen, T Leisti, J Häkkinen
ACM Transactions on Applied Perception (TAP) 13 (3), 1-22, 2016
Performance measure of image and video quality assessment algorithms: subjective root-mean-square error
M Nuutinen, T Virtanen, JP Häkkinen
Journal of Electronic Imaging 25 (2), 023012, 2016
Reference image method for measuring quality of photographs produced by digital cameras
M Nuutinen, O Orenius, T Säämänen, P Oittinen
Image Quality and System Performance VIII 7867, 78670M, 2011
Features for predicting quality of images captured by digital cameras
M Nuutinen, P Oittinen, T Virtanen
2012 IEEE International Symposium on Multimedia, 165-168, 2012
Spatial and temporal information as camera parameters for super-resolution video
J Tarvainen, M Nuutinen, P Oittinen
2012 IEEE International Symposium on Multimedia, 302-305, 2012
Visibility and annoyance of digital watermarks
H Hänninen, M Nuutinen, P Oittinen
Graphic Arts in Finland 36, 1, 2007
Did You Notice It?—How Can We Predict the Subjective Detection of Video Quality Changes From Eye Movements?
J Radun, M Nuutinen, JN Antons, S Arndt
IEEE Journal of Selected Topics in Signal Processing 11 (1), 37-47, 2017
Reduced-reference methods for measuring quality attributes of natural images in imaging systems
M Nuutinen
Aalto University, 2012
Interestingness of stereoscopic images
J Hakala, M Nuutinen, P Oittinen
Stereoscopic Displays and Applications XXII 7863, 78631S, 2011
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