I'm an Associate Professor in the Department of Algorithmics and Software, Silesian University of Technology.
Here you can find my address, research information and teaching materials.

Roman Starosolski

 

Department of Algorithmics and Software

Silesian University of Technology

Akademicka 16, 44-100 Gliwice, Poland

 

room nr: 521 (timetable)

 

tel.: +48 32 2372705

 

email: rstarosolski@polsl.pl

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Research

Research interests

My research interests are: image compression, data compression, image processing, biomedical imaging, image compression standards, lifting-based reversible transforms (color space transforms and DWT), adaptive algorithms.
 
Selected publications
 
• Starosolski, R.: Employing new hybrid adaptive wavelet-based transform and histogram packing to improve JP3D compression of volumetric medical images. Entropy, 2020, Vol. 22(12), pp. 1385 (1-17), DOI: 10.3390/e22121385 (open access).
• Starosolski, R.: Hybrid adaptive lossless image compression based on discrete wavelet transform. Entropy, 2020, Vol. 22(7), pp. 751 (1-20), DOI: 10.3390/e22070751 (open access).
• Starosolski, R.: Reversible denoising and lifting based color component transformation for lossless image compression. Multimedia Tools and Applications, 2020, Vol. 79(17-18), pp. 11269-11294, DOI: 10.1007/s11042-019-08371-w (open access).
• Starosolski, R.: Application of fixed skipped steps discrete wavelet transform in JP3D lossless compression of volumetric medical images. In: S. Kozielski et al. (Eds.): BDAS 2019. Springer CCIS, 2019, vol. 1018, pp. 217-30, DOI: 10.1007/978-3-030-19093-4_17.
• Starosolski, R.: A practical application of skipped steps DWT in JPEG 2000 part 2-compliant compressor. In: S. Kozielski, D. Mrozek, P. Kasprowski, B. Malysiak-Mrozek, D. Kostrzewa (Eds.): BDAS 2018. Springer CCIS, 2018, vol. 928, pp. 334-48, DOI: 10.1007/978-3-319-99987-6_26.
• Starosolski, R.: Human visual system inspired color space transform in lossy JPEG 2000 and JPEG XR compression. In: S. Kozielski et al. (Eds.): BDAS 2017. Springer CCIS, 2017, vol. 716, pp. 564-75, DOI: 10.1007/978-3-319-58274-0_44.
• Starosolski, R.: Skipping selected steps of DWT computation in lossless JPEG 2000 for improved bitrates. PLOS ONE, 2016, Vol. 11(12), pp. e0168704 (1-22), DOI: 10.1371/journal.pone.0168704 (open access).
• Starosolski, R.: Application of reversible denoising and lifting steps with step skipping to color space transforms for improved lossless compression. Journal of Electronic Imaging, 2016, Vol. 25(4), pp. 043025 (1-17), DOI: 10.1117/1.JEI.25.4.043025 (open access).
• Starosolski, R.: Application of reversible denoising and lifting steps to LDgEb and RCT color space transforms for improved lossless compression. In: S. Kozielski et al. (Eds.): BDAS 2016. Springer CCIS, 2016, vol. 613, pp. 623-32, DOI: 10.1007/978-3-319-34099-9_48.
• Starosolski, R.: Application of reversible denoising and lifting steps to DWT in lossless JPEG 2000 for improved bitrates. Signal Processing: Image Communication, 2015, Vol. 39, Part A, pp. 249-63, DOI: 10.1016/j.image.2015.09.013.
• Bernas, T.; Starosolski, R.; Wójcicki, R.: Application of detector precision characteristics for the denoising of biological micrographs in the wavelet domain. Biomedical Signal Processing and Control, 2015, Vol. 19, pp. 1-13, DOI: 10.1016/j.bspc.2015.02.010.
• Starosolski, R.: New simple and efficient color space transformations for lossless image compression. Journal of Visual Communication and Image Representation, 2014, Vol. 25(5), pp. 1056-63, DOI: 10.1016/j.jvcir.2014.03.003.
• Bernas, T.; Starosolski, R.; Robinson, J.P.; Rajwa, B.: Application of detector precision characteristics and histogram packing for compression of biological fluorescence micrographs. Computer Methods and Programs in Biomedicine, 2012, Vol. 108(2), pp. 511-23, DOI: 10.1016/j.cmpb.2011.03.012.
• Starosolski, R.: Compressing high bit depth images of sparse histograms. Proc. of International Electronic Conference on Computer Science IeCCS 2007 Part II, Athens, Greece, December 2007. AIP Conf. Proc. 2008, Vol. 1060(1), pp. 269-72, DOI: 10.1063/1.3037069.
• Starosolski, R.: Parallelization of an adaptive compression algorithm using the reduced model update frequency method. Theoretical and Applied Informatics, 2007, Vol. 19(2), pp. 103-15.
• Starosolski, R.: Simple fast and adaptive lossless image compression algorithm. Software–Practice and Experience, 2007, Vol. 37(1), pp. 65-91, DOI: 10.1002/spe.746.
• Schaefer, G; Starosolski, R; Zhu, S.Y.: An evaluation of lossless compression algorithms for medical infrared images (©). Proc. of 27th IEEE Int. Conference Engineering in Medicine and Biology Society EMBS2005, Shanghai, China, September 2005, pp. 1673-76, DOI: 10.1109/IEMBS.2005.1616764.
• Starosolski, R.: Performance evaluation of lossless medical and natural continuous tone image compression algorithms (©). SPIE Medical Imaging Conference, Warsaw, Poland, September 2005. Proc. SPIE, 2005, Vol. 5959, pp. 116-27, DOI: 10.1117/12.624136.
• Starosolski, R.; Skarbek, W.: Modified Golomb-Rice codes for lossless compression of medical images. Proc. of International Conference on E-health in Common Europe, Cracow, Poland, June 2003, pp. 423-37.
 
DSc in Computer Science
 
Title: Methods for improving the efficiency of image compression algorithms, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, 2017.
 
PhD in Computer Science
 
Thesis: Lossless image compression algorithms, advisor: prof. dr hab. inż. Zbigniew J. Czech, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, 2002, Honours Cum Laude.
 
Set of medical and natural continuous tone grayscale test images for testing image compression algorithms
 
Sets A1, A2, and A3 of color images in optical resolutions of acquisition devices
 
SFALIC - Simple Fast and Adaptive Lossless Image Compression Algorithm
 
Implementation of the Histogram Binning/Packing Method
 
Implementation of the Detector Precision Characteristics Based Wavelet Denoising Algorithm
 
Implementation of RDLS-modified Color Space Transforms (colortransf-rdls)
 
Implementation of RDLS-SS-DWT+Pred in JPEG 2000 (RDLS-SS-DWT)
 
Tools for Image Transformations

 

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• Programowanie komputerów [SI sem. 2] [SI sem. 3] [SI sem. 4] (stara strona przedmiotu)
• Programowanie komputerów, Katowice [SI K-ce sem. 2] (stara strona przedmiotu)
• Nowe trendy w informatyce [SII]
• Algorytmy kompresji danych [SII]
• Wybrane technologie tworzenia oprogramowania [SII] [NZII]
• Computer Programming, Informatics [SI_EN sem. 2] [SI_EN sem. 3] [SI_EN sem. 4] (old page with lectures)
• Computer Programming 3, Macrofaculty [Makro SI] (old page with lectures)
• Scientific Computing, Macrofaculty [Makro SII]
• Seminarium dyplomowe [SII]
• Master Seminar [SII_EN/Makro SII]
• Proposed topic of the PhD dissertation (EN) (PL)

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