Dr. Mikko Nuutinen Profile

Dr. Mikko Nuutinen

Research Scientist at Univ of Helsinki

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Publications (12)

SPIE Journal Paper | 30 January 2019

Image quality wheel

Toni Virtanen, Mikko Nuutinen, Jukka Häkkinen

JEI, Vol. 28, Issue 01, 013015, (January 2019) https://doi.org/10.1117/12.10.1117/1.JEI.28.1.013015

KEYWORDS: Image quality, Polonium, Sensors, Visualization, Databases, Image analysis, Photography, Video, Image quality standards, Printing

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SPIE Journal Paper | 28 March 2016

Performance measure of image and video quality assessment algorithms: subjective root-mean-square error

Mikko Nuutinen, Toni Virtanen, Jukka Häkkinen

JEI, Vol. 25, Issue 02, 023012, (March 2016) https://doi.org/10.1117/12.10.1117/1.JEI.25.2.023012

KEYWORDS: Calibration, Image quality, Databases, Video, Detection and tracking algorithms, Cameras, Quality measurement, MATLAB, Error analysis, Statistical analysis

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Proceedings Article | 8 February 2015 Paper

Alternative performance metrics and target values for the CID2013 database

T. Virtanen, Mikko Nuutinen, J. Radun, Tuomas Leisti, 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 | 15 September 2014

Image feature subsets for predicting the quality of consumer camera images and identifying quality dimensions

Mikko Nuutinen, Toni Virtanen, Pirkko Oittinen

JEI, Vol. 23, Issue 06, 061111, (September 2014) https://doi.org/10.1117/12.10.1117/1.JEI.23.6.061111

KEYWORDS: Image quality, Cameras, Distortion, Wavelets, Databases, Image processing, Photography, Linear filtering, Image filtering, Feature selection

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Proceedings Article | 16 February 2011 Paper

Interestingness of stereoscopic images

Jussi Hakala, Mikko Nuutinen, Pirkko Oittinen

Proceedings Volume 7863, 78631S (2011) https://doi.org/10.1117/12.872437

KEYWORDS: Stereoscopy, Eye, Cameras, Photography, Molybdenum, Image quality, Neodymium, Ions, Visualization, Photonic integrated circuits

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Proceedings Article | 27 January 2011 Paper

Method for measuring stereo camera depth accuracy based on stereoscopic vision

Mikko Kytö, Mikko Nuutinen, Pirkko Oittinen

Proceedings Volume 7864, 78640I (2011) https://doi.org/10.1117/12.872015

KEYWORDS: Stereoscopic cameras, Cameras, Calibration, Image resolution, Video, Distance measurement, Spatial resolution, Eye, Imaging systems, Augmented reality

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Proceedings Article | 24 January 2011 Paper

Method for evaluating tone mapping operators for natural high dynamic range images

Mikko Kuhna, Mikko Nuutinen, Pirkko Oittinen

Proceedings Volume 7876, 78760O (2011) https://doi.org/10.1117/12.872006

KEYWORDS: High dynamic range imaging, Cameras, Image quality, Photography, Image processing, Molybdenum, RGB color model, Optical testing, Image fusion, Standards development

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Proceedings Article | 24 January 2011 Paper

Reference image method for measuring quality of photographs produced by digital cameras

Mikko Nuutinen, Olli Orenius, Timo Säämänen, Pirkko Oittinen

Proceedings Volume 7867, 78670M (2011) https://doi.org/10.1117/12.871999

KEYWORDS: Image quality, Cameras, Molybdenum, Wavelets, Digital cameras, Distortion, Digital imaging, Light emitting diodes, Visualization, Detection and tracking algorithms

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Proceedings Article | 24 January 2011 Paper

Potential of face area data for predicting sharpness of natural images

Mikko Nuutinen, Olli Orenius, Timo Säämänen, Pirkko Oittinen

Proceedings Volume 7867, 786710 (2011) https://doi.org/10.1117/12.871996

KEYWORDS: Cameras, Facial recognition systems, Light emitting diodes, Photography, Wavelets, Image quality, Xenon, Eyeglasses, Statistical analysis, Cell phones

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Proceedings Article | 18 January 2010 Paper

Reduced-reference quality metrics for measuring the image quality of digitally printed natural images

Mikko Nuutinen, Raisa Halonen, Tuomas Leisti, Pirkko Oittinen

Proceedings Volume 7529, 75290I (2010) https://doi.org/10.1117/12.838883

KEYWORDS: Image quality, Molybdenum, Wavelets, Electrophotography, Imaging devices, Printing, Cameras, Video, Distortion, Photography

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Proceedings Article | 18 January 2010 Paper

Development and measurement of the goodness of test images for visual print quality evaluation

Raisa Halonen, Mikko Nuutinen, Reijo Asikainen, Pirkko Oittinen

Proceedings Volume 7529, 752909 (2010) https://doi.org/10.1117/12.838907

KEYWORDS: Image quality, Visualization, Cameras, Light sources and illumination, Printing, Photography, RGB color model, Image visualization, Image processing, Camera shutters

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Proceedings Article | 19 January 2009 Paper

Method for measuring the objective quality of the TV-out function of mobile handsets

Mikko Nuutinen, Pirkko Oittinen

Proceedings Volume 7242, 724212 (2009) https://doi.org/10.1117/12.805425

KEYWORDS: Signal to noise ratio, Image quality, Color reproduction, Digital cameras, Interference (communication), Modulation, Quality measurement, Quantization, Optical testing, Measurement devices

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Digital cameras, printers and displays have their own established methods to measure their performance. Different devices have their own special features and also different metrics and measuring methods. The real meaning of measuring data is often not learnt until hands-on experience is available. The goal of this study was to describe a preliminary method and metrics for measuring the objective image quality of the TV-out function of mobile handsets. The TV-out application was image browsing. Image quality is often measured in terms of color reproduction, noise and sharpness and these attributes were also applied in this study. The color reproduction attribute was studied with color depth, hue reproduction and color accuracy metrics. The noise attribute was studied with the SNR (signal to noise ratio) and chroma noise metrics. The sharpness attribute was studied with the SFR (spatial frequency response) and contrast modulation metrics. The measuring data was gathered by using a method which digitized the analog signal of the TV-out device with a frame grabber card. Based on the results, the quantization accuracy, chroma error and spatial reproduction of the signal were the three fundamental factors which most strongly affected the performance of the TV-out device. The quantization accuracy of the device affects the number of tones that can be reproduced in the image. The quantization accuracy also strongly affects the correctness of hue reproduction. According to the results, the color depth metric was a good indicator of quantization accuracy. The composite signal of TV-out devices transmits both chroma and luminance information in a single signal. A change in the luminance value can change the constant chroma value. Based on the results, the chroma noise metric was a good indicator for measuring this phenomenon. There were differences between the spatial reproductions of the devices studied. The contrast modulation was a clear metric for measuring these differences. The signal sharpening of some TV-out devices hindered the interpretation of SFR data.

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