| 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 | 110 | 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 | 97 | 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 | 40 | 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 | 17 | 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 | 15 | 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 | 13 | 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 | 12 | 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 | 11 | 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 | 10 | 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 | 8 | 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 | 7 | 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 | 6 | 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 | 6 | 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 | 6 | 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 | 5 | 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 | 5 | 2012 |
| Visibility and annoyance of digital watermarks H Hänninen, M Nuutinen, P Oittinen Graphic Arts in Finland 36, 1, 2007 | 5 | 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 | 4 | 2017 |
| Reduced-reference methods for measuring quality attributes of natural images in imaging systems M Nuutinen Aalto University, 2012 | 4 | 2012 |
| Interestingness of stereoscopic images J Hakala, M Nuutinen, P Oittinen Stereoscopic Displays and Applications XXII 7863, 78631S, 2011 | 4 | 2011 |
