Prof. dr hab. Bogdan Smołka, 
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Nota biograficzna:

Szkic Biograficzny

• Magister: Wydział Matematyki, Fizyki i Chemii Uniwersytetu Śląskiego w Katowicach, kierunek: fizyka doświadczalna, dyplom z wyróżnieniem, 1986,

• Doktor nauk technicznych: Wydział Automatyki, Elektroniki i Informatyki, Politechniki Śląskiej. Rozprawa doktorska: Zastosowanie elementów teorii pól Markowa w wybranych zagadnieniach wstępnego przetwarzania obrazów,

• Doktor habilitowany: Wydział Automatyki, Elektroniki i Informatyki, Politechniki Śląskiej. Rozprawa habilitacyjna: Nonlinear techniques of noise reduction in digital color images.

Zatrudnienie:

1986, asystent w Zakładzie Biofizyki Lekarskiej, Śląskiej Akademii Medycznej w Katowicach,

1994, asystent w Wyższej Szkole Zawodowej w Esslingen, Niemcy,

Rozwiń/Zwiń

Zainteresowania naukowe:

Tematyka prowadzonych prac badawczych

• Redukcja szumów w barwnych obrazach cyfrowych,

• Badania nad percepcją wizualną obrazów cyfrowych poddanych kompresji stratnej metodami falkowymi,

• Poprawa jakości skanowanych dokumentów bibliotecznych, przeznaczonych do publikacji w mediach elektronicznych,

• Przetwarzanie i analiza obrazów biologicznych i medycznych, (obrazy elektroforezy jednokomórkowej, mikromacierzy cDNA oraz mammografii cyfrowej),

• Badania nad metodami interakcji człowiek-komputer poprzez śledzenie twarzy

i ruchów oczu,

• Detekcja i korekcja efektu „czerwonych oczu” w amatorskiej fotografii cyfrowej,

• Koloryzacja archiwalnych zdjęć fotograficznych,

• Indeksowanie i wyszukiwanie obrazów w multimedialnych bazach danych,

Rozwiń/Zwiń

Lista publikacji:

1. L. Malinski, B. Smolka,
Self‑tuning fast adaptive algorithm for impulsive noise suppression in color images, Journal of Real-Time Image Processing, https://doi.org/10.1007/s11554-019-00853-2, published online 14.02.2019

2. K. Radlak, M. Frackiewicz, H. Palus, B. Smolka, Finger joint synovitis detection in ultrasound images, Bulletin of the Polish Academy of Sciences: Technical Sciences, vol.66, no.2, 2018, doi: 10.24425/122104

3. B. Smolka, L. Malinski,
Impulsive noise removal in color digital images based on the concept of digital paths, Proceedings of 13th International Conference on Computer Science & Education (ICCSE), 8-11 August, 2018, Colombo, Sri Lanka, pp 499-504, (IEEE), 2018

4. L. Malinski, B. Smolka,
On impulsive noise suppression techniques in color images, Proceedings of the 23nd International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, August 27-30, 2018, pp. 401-406, (IEEE)

5. B. Smolka, J. Nalepa, M. Kawulok, B. Cyganek,
Robust enhancement technique for color images corrupted by impulsive noise, Proc. SPIE 10670, Real-Time Image and Video Processing 2018,
1067003; doi: 10.1117/12.2303717

6. M. Walczak, J. Nalepa, M. Kawulok, W. Dudzik, B. Smolka, Evolutionary cortical surface segmentation, Proc. SPIE 10670, Real-Time Image and Video Processing 2018, 106700D; doi: 10.1117/12.2304549

7. B. Smolka, Robust Sharpening Vector Median Filter, 2018 International Automatic Control Conference (CACS), pp. 1-6, 2018, Taoyuan, Taiwan, Nov. 4 - 7, 2018, (IEEE)

8. Maksym Walczak, Jakub Nalepa, Michal Kawulok, Wojciech Dudzik, Bogdan Smolka: Evolutionary cortical surface segmentation, Real-Time Image and Video Processing 2018, Orlando, Florida, United States
15 - 19 April 2018, ID:106700D

9. L. Malinski, B. Smolka, D. Jama, On the efficiency of a fast technique of impulsive noise removal in color digital images, 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017, Międzyzdroje, Poland, August 28-31, 2017, pp. 855-860,2017, ISBN: 978-1-5386-2402-9, DOI: 10.1109/MMAR.2017.8046940

10. ○ B. Smolka, Impulsive noise removal in color images based on the local neighborhood exploration by geodesic digital paths, 17th International Multidisciplinary Scientific GeoConference SGEM 2017, SGEM2017 Conference Proceedings, ISBN 978-619-7408-01-0 / ISSN 1314-2704, 29 June - 5 July, 2017, Vol. 17, Issue 21, 359-366 pp, DOI: 10.5593/sgem2017/21/S07.046

11. K. Radlak, N. Radlak, B. Smolka, Static posed versus genuine smile recognition, Advances in Intelligent Systems and Computing, book series (AISC, volume 578), pp. 423-432, Springer, 2017, DOI 10.1007/978-3-319-59162-9_44

12. L. Malinski, B. Smolka, Fast averaging peer group filter for the impulsive noise removal in color images, Journal of Real-Time Image Processing, 11(3):427-444, March 2016, DOI: 10.1007/s11554-015-0500-z

13. A. Popowicz; A. R. Kurek; T. Blachowicz; V. Orlov; B. Smolka, On the efficiency of techniques for the reduction of impulsive noise in astronomical images,
Monthly Notices of the Royal Astronomical Society, 2016 463 (2): 2172-2189
doi: 10.1093/mnras/stw1983

14. L. Malinski, B. Smolka, Fast adaptive switching technique of impulsive noise removal in color images, Journal of Real-Time Image Processing, p. 1-22, 2016, DOI: doi:10.1007/s11554-016-0599-6

15. M. Kawulok, J. Kawulok, J. Nalepa, B. Smolka, Hybrid adaptation for detecting skin in color images, Intelligent Data Analysis, 20(s1):S121-S139, 2016, DOI: 10.3233/IDA-160850

16. A. Popowicz, B. Smolka, Biomedical image colorization using pixel membership propagation, Studia Informatica, 37(3A):7-19, Studia Informatica, 2016, DOI: http://dx.doi.org/10.21936/si2016_v37.n3A.771

17. K. Radlak, B. Smolka, High dimensional local binary patterns for facial expression recognition in the wild, In Proc. Of 18th Mediterranean Electrotechnical Conference (MELECON), 2016, p. 1-5, DOI: 10.1109/MELCON.2016.7495381

18. K. Nurzynska, B. Smolka, Smile Veracity Recognition Using LBP Features for Image Sequence Processing, 2nd International Conference on Systems Informatics, Modelling and Simulation, pp. 89-96, 2016,DOI: 10.1109/SIMS.2016.17

19. K. Radlak, B. Smolka, Automated recognition of facial expressions authenticity, Proceedings of the 18th ACM International Conference on Multimodal Interaction, p. 577-581, 2016, doi:10.1145/2993148.2997624

20. K. Nurzynska, B. Smolka, Segmentation of finger joint synovitis in ultrasound images, Proc. of 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE), p. 335-340, 2016, DOI: 10.1109/CCE.2016.7562658

21. D. Kusnik, B. Smolka, B. Cyganek, Application of the local similarity filter for the suppression of multiplicative noise in medical ultrasound images, Proc. of SPIE Photonics Europe, p. 989704-989704-14, 2016, doi: 10.1117/12.2227650

22. K. Nurzynska, B. Smolka, Automatic finger joint synovitis localization in ultrasound images, Proc. of SPIE Photonics Europe, p. 98970N-98970N-11, 2016, DOI: 10.1117/12.2227638

23. B. Cyganek, B. Smolka, Real-time framework for tensor-based image enhancement for object classification, Proc. of SPIE Photonics Europe, p. 98970Q-98970Q-8, 2016, doi: 10.1117/12.2227797

24. K. Nurzynska, B. Smolka, Smile veracity recognition using 3D texture features for image sequence processing, Proceedings of Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), IEEE, pp. 125-129, 2016, DOI:10.1109/SPA.2016.7763599

25. M. Kawulok, J. Nalepa, K. Nurzynska, B. Smolka, In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception, Proceedings of Ibero-American Conference on Artificial Intelligence, ISBN:978-3-319-47954-5, p. 325-337, 20016, DOI: 10.1007/978-3-319-47955-2_27

26. K. Wojciechowski, B. Smolka, R. Cupek, A. Ziebinski, K. Nurzynska, M. Kulbacki, J. Segen, M. Fojcik, P. Mielnik, S. Hein, A Machine-Learning Approach to the Automated Assessment of Joint Synovitis Activity, Proc. of International Conference on Computational Collective Intelligence, ISBN: 978-3-319-45245-6, p. 440-450, 2016, DOI 10.1007/978-3-319-45246-3_42

27. Popowicz A., Kurek A., Pollo A., Smolka B., Beyond the current noise limit in imaging through turbulent medium, Optics Letters, Vol.40, No. 10, pp. 2181-2184, 2015

28. K. Nurzynska, B. Smolka,
Smiling and neutral facial display recognition with local binary patterns operator, Journal of Medical Imaging and Health Informatics, vol.5, no. 6, pp. 1-9, 2015 American Scientific Publishers, USA, ISBN 2156-7018

29. B. Smolka, D. Kusnik,
Robust local similarity filter for the reduction of mixed Gaussian and impulsive noise in color digital images, Signal, Image and Video Processing, 9, 1, 49-56, 2015

30. B. Smolka, B. Cyganek, Impulsive noise suppression in color images based on the geodesic digital paths,Conference on Real-Time Image and Video Processing Location: San Francisco, USA, FEB 10, 2015, Proceedings of SPIE Vol. 9400 Article Number: 94000R, 2015

31. B. Smolka, B. Cyganek, Impulsive noise suppression in color images based on the geodesic digital paths, SPIE REAL-TIME IMAGE AND VIDEO PROCESSING 2015 Book Series: Proceedings of SPIE Volume: 9400 Article Number: 94000R Published: 2015

32. Popowicz A., Smolka B., Bilateral filtering based biomedical image colorization. Computational Vision and Medical Image Processing V : Proceedings of the 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE 2015, Tenerife, Spain, October 19-21, 2015), pp.163-169

33. B. Smolka, K. Radlak, Adaptive Trimmed Averaging Filter for Noise Removal in Color Images, The 10th International Conference on Computer Science & Education, p. 89-94,
July 22-24, 2015, Fitzwilliam College, Cambridge University, UK

34. K. Radlak, M. Bozek, B. Smolka, Silesian deception database – presentation and analysis, Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection, pp. 29-35, Seattle, USA, 2015, ISBN: 978-1-4503-3987-2

35. K. Nurzynska, B. Smolka,
Recognition between smiling and neutral facial display with power LBP operator, Proceedings of EUROCON, September 8-11, 2015, Salamanca, Spain.

36. B. Smolka, K. Nurzynska,
Power LBP: A novel texture operator for smiling and neutral facial display classification, ICCS 2015, vol. 51, pp. 1555-1564, Procedia Computer Science, Elsevier. ISSN 1877-0509

37. Luszczkiewicz-Piatek M, Smolka B: Robust Image Retrieval Based on Mixture Modeling of Weighted Spatio-color Information, Image Processing & Communications Challenges 6, Springer International Publishing, ISBN: 978-3-319-10661-8, vol. 313, p. 85-93, 2015

38. K. Radlak, N. Radlak, B. Smolka, Automatic Detection of Bones Based on the Confidence Map for Rheumatoid Arthritis Analysis, in: Joao Manuel R.S. Tavares and R. M. Natal Jorge /eds./, Computational Vision and Medical Image Processing, VipIMAGE 2015, pp.215-220, Taylor & Francis Group, 2015, ISBN: 978-1-138-02926-2

39. Book: Color Image and Video Enhancement, ISBN:978-3-319-09362-8, Editors: Celebi, M. Emre, Lecca, Michela, Smolka, Bogdan, Springer, 2015,
Chapter: Overview of Grayscale Image Colorization Techniques, by Popowicz A., Smolka B., pp 345-370,

40. K. Nurzynska, B. Smolka,
SNiP - Smile - Neutral facial display Intensity Predictor. In J.M. R. S. Tavares and R. M N. Jorge (eds.) VipIMAGE 2015, Computational Vision and Medical image Processing V, pp. 347-353, 2016 Taylor & Francis Group, London, (October 19-21, 2015, Tenerife, Spain.)

41. K. Nurzynska, B. Smolka,
Facial displays description schemas for smiling vs. neutral emotion recognition. In Rutkowski et al. (Eds.): Proceedings of ICAISC 2015, Part 1, LNAI 9119, pp. 594-605. 2015

42. K. Nurzynska, B. Smolka, PCA application in classification of smiling and neutral facial displays, Proc. of International Conference: Beyond Databases, Architectures and Structures, ISBN:978-3-319-18421-0, p. 398-407, 2015

43. P. Lagodzinski, B. Smolka, Application of the Extended Distance Transformation in digital image colorization, Journal
Multimedia Tools and Applications, Volume 69 Issue 1, March 2014, Pages 111-137

44. M. Kawulok, J. Kawulok, J. Nalepa, and B. Smolka, “Self-adaptive algorithm for segmenting skin regions,” EURASIP Journal on Advances in Signal Processing, vol. 2014, no. 170, 2014

45. Radlak K., Smolka B.: Adaptive Non-Local Means Filtering for Speckle Noise Reduction. In: Computer Vision and Graphics, Lecture Notes in Computer Science, Springer, Volume 8671, 2014, pp 518-525, ISBN:978-3-319-11330-2

46. K. Malik, B. Machala, B. Smolka: Novel Approach to Noise Reduction in Ultrasound Images Based on Geodesic Paths,
Computer Vision and Graphics
Lecture Notes in Computer Science Volume 8671, 2014, pp 409-417, ISBN:978-3-319-11330-2

47. B. Smolka, A. Andrzejczak, P. Nabialkowski, A. Nelip,
Thresholded Median Filter for the Impulsive Noise Removal in Digital Images, IEEE International Conference on Information, Intelligence, Systems and Applications, IISA‐2014, Chania, Greece, 2014, p. 355 – 360

48. M. Kawulok, J. Kawulok, J. Nalepa, and B. Smolka, “Self-adaptive skin segmentation in color images,” in
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, E. Bayro-Corrochano and E. Hancock, Eds., vol. 8827 of Lecture Notes in Computer Science, pp. 96–103. Springer International Publishing Switzerland, 2014, ISBN: 978-3-319-12567-1

49. Novel Approach to Noise Reduction in Ultrasound Images Based on Geodesic Paths, Malik Krystyna; Machala Bernadetta; Smolka Bogdan, International Conference on Computer Vision and Graphics (ICCVG) Location: Warsaw, POLAND Date: SEP 15-17, 2014, Book Series: Lecture Notes in Computer Science Volume: 8671 Pages: 409-417 Published: 2014

50. Fast soft switching impulsive noise removal in color images
B. Smolka, 4th Eccomas Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE) Location: Funchal, PORTUGAL Date: OCT 14-16, 2013
COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING IV Pages: 99-104 Published: 2014

51. B. Smolka, On the robustified median filter for the reduction of impulsive noise in digital images, 10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences (ICNPAA), Book Series: AIP Conference, vol. 1637 pp. 998-1007, 2014

52. Radlak K., Smolka B: Visualization Enhancement of Segmented Images Using Genetic Algorithm. In: The 4th International Conference on Multimedia Computing and Systems (ICMCS'14), p. 391 - 396, 2014

53. Radlak K.,Kawulok M., Smolka B., Radlak N.: Gaze Direction Estimation From Static Images. In: 2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP), pp. 1-4, 2014

54. K.Malik, B. Smolka: Eye Blink Detection Using Local Binary Patterns. In the 4th International Conference on Multimedia Computing and Systems (ICMCS'14), 2014, pages 385-390

55. Smolka, B., "Robustified vector median filter," 2014 9th International Conference on Computer Science & Education (ICCSE), pp.362,367, 22-24 Aug. 2014

56. Popowicz A., Smolka B., Isoline Based Image Colorization, Proceedings of the 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, Eds: David Al-Dabass, pp. 280-285, vol. 16,26-28 March, Camridge, UK, 2014, ISBN: 978-1-4799-4922-9, Published by: IEEE Computer Society Washington, DC, USA ©2014

57. B. Smolka, On the robustified median filter for the reduction of impulsive noise in digital images, AIP Conference Proceedings, vol. 1637, pp. 998-1007, 2014, ISBN: 978-0-7354-1276-7, Editor: Seenith Sivasundaram, http://dx.doi.org/10.1063/1.4904674,

58. Smolka B: Advances in Low-Level Color Image Processing volume 11, Series Lecture Notes in Computational Vision and Biomechanics,EDS: Celebi ME. Smolka B Springer, Netherlands 2014, ISBN: 978-94-007-7583-1

59. Smolka B. Malik K: Reduced ordering based approach to impulsive noise suppression in color images, ACEEE Int. Journal on Signal and Image Processing, Vol. 4, No. 3, 44-49, 2013

60. Radlak K., Smolka B.: Trimmed Non-Local Means Technique for Mixed Noise Removal in Color Images. In: Proceedings IEEE International Symposium on Multimedia (ISM2013) 2013 p.405-406

61. Radlak K., Smolka B: Blink detection based on the weighted gradient descriptor. In: Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing. R. Burduk. K. Jackowski. M. Kurzynski. M. Wozniak. and A. Zolnierek. Springer International Publishing. vol. 226. pp. 691–700 ISBN: 978-3-319-00968-1

62. Smolka B. Malik K: Reduced Ordering Technique of Impulsive Noise Removal in Color Images. In Computational Color Imaging. volume 7786 of Lecture Notes in Computer Science. pages 296-310. Springer Berlin Heidelberg. 2013. ISBN: 978-3-642-36699-4

63. Smolka B: Fast soft switching impulsive noise removal in color images, Proceedings of IV ECCOMASS Thematic Conference on Computational Vision and Medical Image Madeira, Portugal, CRC Press 2013, Eds: Tavares, JMRS; Jorge, RMN

64. Smolka B: Soft switching technique for impulsive noise removal in color images, Proceedings of IEEE Conference on Computational Intelligence, Communication Systems and Networks p.222-227 ISBN:978-1-4799-0587-4, Madrid, Spain, 2013

65. Smolka B. Malik K: Fast technique for mixed Gaussian and impulsive noise suppression in color images. IEEE AFRICON 2013. Mauritius. 2013

66. Radlak K., Smolka B., Radlak N: Multiplicative noise removal in medical ultrasound images using trimmed non-local means technique. XVII Gliwice Scientific Meetings. Gliwice 15-16.11.2013. p. 152

67. Luszczkiewicz-Piatek M. Smolka B: Color image retrieval based on spatio-chromatic multichannel Gaussian mixture modeling, Proceedings of IEEE Int. Symposium on Image and Signal Processing and Analysis p.130-135, (ISPA), Trieste, Italy, 2013

68. Smolka B: Fast impulsive noise removal in color images, Proceedings of IEEE Int. Conference on Image Processing p.1212-1216, (ICIP), Melbourne, Australia, 2013.

69. Smolka B. Malik K. Malik D: Adaptive rank weighted switching filter for impulsive noise removal in color images. Journal of Real-Time Image Processing, p.1-23, 2012, DOI: 10.1007/s11554-012-0307-0

70. M. Kawulok, J. Kawulok, B. Smolka, Discriminative textural features for image and video colorization, IEICE Transactions on Information and Systems, vol. E95-D, no.7, 1722-1730, 2012

71. V.I. Ponomaryov, T. Herfet, V.V. Lukin, B. Smolka, V. Zlokolica: Image and video quality improvement techniques for emerging applications. EURASIP Journal on Advances in Signal Processing, vol. 2012:33, (2012)

72. Malik K. Smolka B: On the Modification of the Bilateral Technique of Noise Removal in Color Images. Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej, p.37-44, 2012

73. Radlak K., Smolka B: A novel approach to the eye movement analysis using a high speed Camera. In: 2nd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA’12), Zouk-Mosbeh, Lebanon, 2012, p. 139-144.

74. M. Luszczkiewicz-Piatek, B. Smolka, Selective Color Image retrieval based on the Gaussian mixture model, Lecture Notes in Computer Science, vol. 7517, 431-443, (2012)

75. Radlak K. Smolka B: Pseudocolor visualization of segmented images based on genetic algorithm. XVIII Krajowa Konferencja Automatyzacji Procesów Dyskretnych, Zakopane 2012, Poland, p.203-214

76. Malik K, Smolka B: Improved Bilateral Filtering Scheme for Noise Removal in Color Image . In The International Conference on Informatics and Applications (ICIA2012), p.118-130, Hong Kong.

77. Malik K, Smolka B: Modified Bilateral Filter for the Restoration of Noisy Color Images. In Advanced Concepts for Intelligent Vision Systems, volume 7517 of Lecture Notes in Computer Science, pages 72-83. Springer Berlin Heidelberg, 2012. ISBN: 978-3-642-33139-8

78. M. Kawulok, B. Smolka, Texture-adaptive image colorization framework, EURASIP Journal on Advances in Signal Processing, vol. 2011:99, 2011

79. M. Kawulok, J. Kawulok, B. Smolka,
Textural features for scribble-based image colorization, Computer Recognition Systems 4, Advances in Intelligent and Soft Computing Series, 269-278, Springer, 2011

80. M. Luszczkiewicz-Piatek, B. Smolka, Color image retrieval based on mixture approximation and color region matching, Computer Recognition Systems 4, Advances in Intelligent and Soft Computing Series, 337-346, Springer, 2011

81. M. Luszczkiewicz-Piatek, B. Smolka, Effective color image retrieval based on the Gaussian mixture model, Lecture Notes in Computer Science, LNCS 6626, 199-214, 2011

82. M. Luszczkiewicz-Piatek, B. Smolka, Image Retrieval Based on Gaussian Mixture Approach to Color Localization, Lecture Notes in Computer Science, vol. 6978, 347-355, 2011

83. B. Smolka, Adaptive Edge Enhancing Technique of Impulsive Noise Removal in Color Digital Images, Lecture Notes in Computer Science, vol. 6626, 60-74, 2011

84. B. Smolka, Peer group switching filter for impulse noise reduction in color images, Pattern Recognition Letters, vol. 31, no. 15, 484-495, 2010

85. B. Smolka, On the adaptive impulsive noise reduction in color images, Journal of Medical Informatics & Technologies, vol. 16, 193-200, 2010

86. B. Smolka, M. Kawulok, Image colorization with competitive propagation paths and chrominance blending, Studia Informatica, Vol. 31, No. 2A(89), 321-333, 2010.

87. B. Smolka, On the adaptive impulsive noise reduction in color images, Journal of Medical Informatics & Technologies, vol. 16, pp. 193-200, 2010

88. M. Kawulok, B. Smolka, Image colorization system based on discriminating textural features, Advances in System Science, Academic Publishing House EXIT, Warsaw 2010, pp. 323-332

89. B. Smolka, On the adaptive impulsive noise removal in color images, Journal of Medical Informatics & Technologies, vol. 13, pp. 23-30, 2009

90. M. Luszczkiewicz, B. Smolka, Spatial color distribution based indexing and retrieval scheme, Advances in Soft Computing, Springer, pp. 419-427, vol. 59,2009

91. B. Smolka, Adaptive generalized vector median, Journal of Medical Informatics and Technologies, 12, 157-162, Oct. 2008

92. P. Lagodzinski, B. Smolka, Image segmentation and matting based on the extended distance transform, Journal of Medical Informatics and Technologies, 151-156, 2008

93. B. Smolka, Modified biased anisotropic diffusion for color image processing, Zeszyty Naukowe Politechniki Śląskiej, z. 150, 197-206, Gliwice 2008

94. B. Smolka, Adaptive generalized vector median filter, Lecture Notes in Computer Science, 5197, 30-37, 2008

95. P. Lagodzinski, B. Smolka, Digital image colorization based on probabilistic distance transform, Lecture Notes in Computer Science, 5197, 626-634, 2008

96. P. Lagodzinski, B. Smolka, On the application of distance transformation in digital image colorization, Book Series: Advances in Soft Computing, Springer, Computer Recognition Systems 2, pp. 108-116, Vol. 45, 2008

97. B. Smolka, Peer group filter for impulsive noise removal in color images, Lecture Notes in Computer Science, 5197, 699-707, 2008