His primary areas of study are Algorithm, Artificial intelligence, Signal processing, Filter and Image processing. His Algorithm research integrates issues from Network synthesis filters, Noise, Mathematical optimization and Prototype filter. Jaakko Astola interconnects Signature, Continuous-wave radar, Covariance matrix, Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence.
His biological study spans a wide range of topics, including Control theory, Finite impulse response, Linear filter, Digital filter and Speech recognition. His Filter study combines topics from a wide range of disciplines, such as Noise reduction, Median filter, Weighted median, Discrete wavelet transform and Coding. His studies examine the connections between Image processing and genetics, as well as such issues in Theoretical computer science, with regards to Function, Class, Complexity index and Robustness.
His main research concerns Algorithm, Artificial intelligence, Computer vision, Image processing and Pattern recognition. His Algorithm research is multidisciplinary, incorporating elements of Digital filter, Theoretical computer science, Mathematical optimization and Signal processing. His studies in Artificial intelligence integrate themes in fields like Filter and Noise.
His work deals with themes such as Radar and Radar imaging, which intersect with Computer vision. His Adaptive filter research focuses on subjects like Prototype filter, which are linked to Control theory. His Lossy compression research extends to the thematically linked field of Data compression.
His scientific interests lie mostly in Artificial intelligence, Algorithm, Computer vision, Pattern recognition and Discrete mathematics. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Radar, Filter and Noise. His work carried out in the field of Filter brings together such families of science as Color image and Median filter.
He does research in Algorithm, focusing on Data compression specifically. The Computer vision study combines topics in areas such as Hyperspectral imaging and Metric. His study explores the link between Discrete mathematics and topics such as Combinatorics that cross with problems in Hadamard's maximal determinant problem.
Jaakko Astola mainly focuses on Artificial intelligence, Computer vision, Pattern recognition, Radar and Metric. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Backscatter and Noise. His research in Computer vision intersects with topics in Classifier, Radar imaging and Multilayer perceptron.
His Radar research is multidisciplinary, relying on both Bispectrum, Feature extraction and Signal processing. His research integrates issues of Image and Data mining in his study of Metric. While the research belongs to areas of Weighted median, Jaakko Astola spends his time largely on the problem of Algorithm, intersecting his research to questions surrounding Mathematical optimization, Filter design, Inverse problem and Phase modulation.
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Vector median filters
J. Astola;P. Haavisto;Y. Neuvo.
Proceedings of the IEEE (1990)
Fundamentals of nonlinear digital filtering
Jaakko Astola;Pauli Kuosmanen.
Image database TID2013
Nikolay Ponomarenko;Lina Jin;Oleg Ieremeiev;Vladimir Lukin.
Signal Processing-image Communication (2015)
Analysis of the meter of acoustic musical signals
A.P. Klapuri;A.J. Eronen;J.T. Astola.
IEEE Transactions on Audio, Speech, and Language Processing (2006)
ON BETWEEN-COEFFICIENT CONTRAST MASKING OF DCT BASIS FUNCTIONS
N Ponomarenko;F Silvestri;K Egiazarian;Marco Carli.
From Local Kernel to Nonlocal Multiple-Model Image Denoising
Vladimir Katkovnik;Alessandro Foi;Karen Egiazarian;Jaakko Astola.
International Journal of Computer Vision (2010)
Analysis of the properties of median and weighted median filters using threshold logic and stack filter representation
O. Yli-Harja;J. Astola;Y. Neuvo.
IEEE Transactions on Signal Processing (1991)
Color image database TID2013: Peculiarities and preliminary results
Nikolay Ponomarenko;Oleg Ieremeiev;Vladimir Lukin;Karen Egiazarian.
european workshop on visual information processing (2013)
Optimal weighted median filtering under structural constraints
Ruikang Yang;Lin Yin;M. Gabbouj;J. Astola.
IEEE Transactions on Signal Processing (1995)
Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues.
Sami Kilpinen;Sami Kilpinen;Reija Autio;Kalle Ojala;Kalle Ojala;Kristiina Iljin.
Genome Biology (2008)
Profile was last updated on December 6th, 2021.
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