Jaakko Astola

Jaakko Astola

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Jaakko Astola

Department of Signal Processing, Tampere University of Technology, Finland

Research Focus & Metrics

Academic Career Length

40Years (1987-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2015 in Signal Processing: Image Communication
Verified
Journal Article
Open access
NPNikolay Ponomarenko
Nikolay Ponomarenko
LJLina Jin
Lina Jin
OIOleg Ieremeiev
Oleg Ieremeiev
Vladimir LukinVladimir Lukin
Vladimir Lukin
KEKaren Egiazarian
Karen Egiazarian
CKC.-C. Jay Kuo
C.-C. Jay Kuo
International audienceThis paper describes a recently created image database, TID2013, intended for evaluation of full-reference visual quality assessment metrics. With respect to TID2008, the new database contains a larger number (3000) of test images obtained from 25 reference images, 24 types of distortions for each reference image, and 5 levels for each type of distortion. Motivations for introducing 7 new types of distortions and one additional level of distortions are given; examples of distorted images are presented. Mean opinion scores (MOS) for the new database have been collected by performing 985 subjective experiments with volunteers (observers) from five countries (Finland, France, Italy, Ukraine, and USA). The availability of MOS allows the use of the designed database as a fundamental tool for assessing the effectiveness of visual quality. Furthermore, existing visual quality metrics have been tested with the proposed database and the collected results have been analyzed using rank order correlation coefficients between MOS and considered metrics. These correlation indices have been obtained both considering the full set of distorted images and specific image subsets, for highlighting advantages and drawbacks of existing, state of the art, quality metrics. Approaches to thorough performance analysis for a given metric are presented to detect practical situations or distortion types for which this metric is not adequate enough to human perception. The created image database and the collected MOS values are freely available for downloading and utilization for scientific purposes

1 April 1990 in Proceedings of the IEEE
Verified
Journal Article
Closed access
JAJ. Astola
J. Astola
PHP. Haavisto
P. Haavisto
YNY. Neuvo
Y. Neuvo

25 July 2009 in International Journal of Computer Vision
Verified
Journal Article
Closed access
PDF file
VKVladimir Katkovnik
Vladimir Katkovnik
AFAlessandro Foi
Alessandro Foi
KEKaren Egiazarian
Karen Egiazarian
JAJaakko Astola
Jaakko Astola

5 August 2016 in EURASIP Journal on Advances in Signal Processing
Verified
Journal Article
Open access
PDF file
RPRonald K. Pearson
Ronald K. Pearson
YNYrjö Neuvo
Yrjö Neuvo
JAJaakko Astola
Jaakko Astola
MGMoncef Gabbouj
Moncef Gabbouj
The standard median filter based on a symmetric moving window has only one tuning parameter: the window width. Despite this limitation, this filter has proven extremely useful and has motivated a number of extensions: weighted median filters, recursive median filters, and various cascade structures. The Hampel filter is a member of the class of decsion filters that replaces the central value in the data window with the median if it lies far enough from the median to be deemed an outlier. This filter depends on both the window width and an additional tuning parameter t, reducing to the median filter when t=0, so it may be regarded as another median filter extension. This paper adopts this view, defining and exploring the class of generalized Hampel filters obtained by applying the median filter extensions listed above: weighted Hampel filters, recursive Hampel filters, and their cascades. An important concept introduced here is that of an implosion sequence, a signal for which generalized Hampel filter performance is independent of the threshold parameter t. These sequences are important because the added flexibility of the generalized Hampel filters offers no practical advantage for implosion sequences. Partial characterization results are presented for these sequences, as are useful relationships between root sequences for generalized Hampel filters and their median-based counterparts. To illustrate the performance of this filter class, two examples are considered: one is simulation-based, providing a basis for quantitative evaluation of signal recovery performance as a function of t, while the other is a sequence of monthly Italian industrial production index values that exhibits glaring outliers.

19 September 2008 in Genome Biology
Verified
Journal Article
Open access
SKSami Kilpinen
Sami Kilpinen
RAReija Autio
Reija Autio
KOKalle Ojala
Kalle Ojala
KIKristiina Iljin
Kristiina Iljin
EBElmar Bucher
Elmar Bucher
OKOlli Kallioniemi
Olli Kallioniemi
Our knowledge on tissue- and disease-specific functions of human genes is rather limited and highly context-specific. Here, we have developed a method for the comparison of mRNA expression levels of most human genes across 9,783 Affymetrix gene expression array experiments representing 43 normal human tissue types, 68 cancer types, and 64 other diseases. This database of gene expression patterns in normal human tissues and pathological conditions covers 113 million datapoints and is available from the GeneSapiens website.

1 January 1991 in IEEE Transactions on Signal Processing
Verified
Journal Article
Closed access
OYO. Yli-Harja
O. Yli-Harja
JAJ. Astola
J. Astola
YNY. Neuvo
Y. Neuvo