B
Bogdan Smolka
Researcher at Silesian University of Technology
Publications - 227
Citations - 3250
Bogdan Smolka is an academic researcher from Silesian University of Technology. The author has contributed to research in topics: Median filter & Noise reduction. The author has an hindex of 24, co-authored 224 publications receiving 3040 citations. Previous affiliations of Bogdan Smolka include University of Toronto.
Papers
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Proceedings Article
A new method of the enhancement of gel electrophoresis images
TL;DR: The gel electrophoresis is a method of separation of substances possessing electrical charge using the difference of their mobility in the electric field to identify protein or DNA fragments which migrate easily whereas the larger fragments are almost motionless.
Journal Article
Application of the adaptive noise removal technique to the enhancement of cDNA microarray images
Bogdan Smolka,Robert Bieda +1 more
TL;DR: A novel class of filters designed for the removal of impulsive noise in colour images is presented, based on the kernel function which controls the noise suppression properties of the new filtering scheme.
Proceedings ArticleDOI
Automated recognition of facial expressions authenticity
Krystian Radlak,Bogdan Smolka +1 more
TL;DR: The state-of-the art methods developed for smile veracity estimation are discussed and a plan of development and validation of a novel approach to automated discrimination between genuine and posed facial expressions is proposed.
Biomedical image colorization using pixel membership propagation
Adam Popowicz,Bogdan Smolka +1 more
TL;DR: A new algorithm of biomedical image colorization based on distance transformation and modified bilateral filtering approach that utilizes the scribbles inserted by the user to properly cover the image regions with desirable colors is presented.
Proceedings ArticleDOI
Robust retrieval of fine art paintings
TL;DR: This paper applies the proposed method of extracting the image color content, which serves as an image digital signature, allowing to efficiently index and retrieve the content of large, heterogeneous multimedia databases, to the WEBMUSEUM Internet database, containing the collection of fine art images.