Prof. dr hab. Bogdan Smołka, pokój: 628
telefon: +48 32 2371912
Ten adres pocztowy jest chroniony przed spamowaniem. Aby go zobaczyć, konieczne jest włączenie w przeglądarce obsługi JavaScript.
Plan zajęć

         

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,
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)

2. 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

3. 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

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

5. 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

6. 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

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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

21. 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.

22. 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)

23. 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

24. 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

25. 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

26. 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

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

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

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

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

31. 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

32. 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

33. ○ 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

34. 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

35. 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

36. 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

37. 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

38. 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

39. 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

40. 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

41. 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

42. 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

43. 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

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

45. 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

46. 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

47. 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

48. 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

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

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

51. 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

52. 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

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

54. 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

55. 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.

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

57. Popowicz A., Kurek A., Smołka B., Silesian Astronomical Imaging Laboratory, VIIth Scientific Conference of Young Astronomers, "Astrophisica Nova", Częstochowa, 8-9 May, 2015 (wyłącznie referat)

58. Maliński Łukasz, Smołka Bogdan: Self-tuning fast adaptive algorithm for impulsive noise suppression in color images, Journal of Real-Time Image Processing, vol. 17, nr 4, 2020, s. 1067-1087, DOI:10.1007/s11554-019-00853-2

59. Radlak Krystian, Maliński Łukasz, Smołka Bogdan: Deep learning based switching filter for impulsive noise removal in color images, Sensors, Multidisciplinary Digital Publishing Institute, 2020, 20(10): 2782, DOI: 10.3390/s20102782

60. Smołka Bogdan, Kusnik Damian: On the application of the reachability distance in the suppression of mixed Gaussian and impulsive noise in color images, Multimedia Tools and Applications, Springer, vol. 79, 2020, s. 32857-32879, DOI:10.1007/s11042-020-09550-w

61. 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

62. 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

63. 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

64. Popowicz A., Smołka B., Fast image colourisation using the isolines concept, Multimedia Tools and Applications, (online, 2016), doi:10.1007/s11042-016-3892-2

65. 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

66. 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

67. 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

68. 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

69. Popowicz A., Smołka B., A method of complex background estimation in astronomical images, Monthly Notices of Royal Astronomical Society, vol. 452(1), pp. 809-823, 2015

70. 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

71. 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

72. 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

73. 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

74. 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

75. 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

76. 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)

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

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

79. 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

80. T. Herud, M. Kawulok, B. Smołka, Emotion recognition from facial images using binary face relevance maps, Studia Informatica, 36(4):29-41, 2016

81. Karolina Nurzyńska, Bogdan Smołka, Optimal classification method for smiling vs neutral facial display recognition, Journal of Medical Informatics & Technologies, Vol. 23, pp. 87-94, 2014

82. Kusnik, D. Smołka, B., Non-local Mean-Shift filter for the reduction of multiplicative noise in digital images, Journal of Medical Informatics & Technologies, Vol. 23, pp. 103--110, 2014

83. 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

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

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

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

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

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

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

90. 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

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

92. Smołka Bogdan, Mendrela Monika: On the efficiency of inpainting methods for marine snow removal in underwater images, W: Advances in signal processing and artificial intelligence: Proceedings of the 2nd International Conference on Advances in Signal Processing and Artificial Intelligence. ASPAI' 2020, 18-20 November 2020 Berlin, Germany / Yurish S. Y. (red.), 2020, IFSA Publishing, ISBN 978-84-09-21931-5, s. 185-190

93. Cyganek A., Smołka Bogdan: Visual front-end for underwater scene change detection and environment monitoring by the autonomous drone, W: Real-Time Image Processing and Deep Learning 2019, Baltimore, Maryland, United States, 15-16 April 2019 / Kehtarnavaz N., Carlsohn M. (red.), Proceedings of SPIE: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments, 2019, SPIE - The International Society for Optics and Photonics, ISBN 9781510626577, art. no. 109960U 1-9, DOI:10.1117/12.2519390

94. Kawulok Michał, Benecki Paweł, Hrynczenko Krzysztof, Kostrzewa Daniel, Piechaczek Szymon, Nalepa Bartłomiej, Smołka Bogdan: Deep learning for fast super-resolution reconstruction from multiple images, W: Real-Time Image Processing and Deep Learning 2019, Baltimore, Maryland, United States, 15-16 April 2019 / Kehtarnavaz N., Carlsohn M. (red.), Proceedings of SPIE: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments, 2019, SPIE - The International Society for Optics and Photonics, ISBN 9781510626577, 109960B-1 - 109960B-8, DOI:10.1117/12.2519579

95. Nalepa Jakub, Myller Michał, Kawulok Michał, Smołka Bogdan: On data augmentation for segmenting hyperspectral images, W: Real-Time Image Processing and Deep Learning 2019, Baltimore, Maryland, United States, 15-16 April 2019 / Kehtarnavaz N., Carlsohn M. (red.), Proceedings of SPIE: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments, 2019, SPIE - The International Society for Optics and Photonics, ISBN 9781510626577, art. no. 1099609 1-8, DOI:10.1117/12.2519517

96. Radlak Krystian, Maliński Łukasz, Smołka Bogdan: Deep learning for impulsive noise removal in color digital images, W: Real-Time Image Processing and Deep Learning 2019, Baltimore, Maryland, United States, 15-16 April 2019 / Kehtarnavaz N., Carlsohn M. (red.), Proceedings of SPIE: Photonics Applications in Astronomy, Communications,
Industry, and High-Energy Physics Experiments, 2019, SPIE - The International Society for Optics and Photonics, ISBN 9781510626577, art. no. 1099608 1-9, DOI:10.1117/12.2519483

97. Smołka Bogdan, Cyganek B., Kawulok Michał, Nalepa Jakub: Robust switching technique of impulsive noise removal in color digital images, W: Real-Time Image Processing and Deep Learning 2019, Baltimore, Maryland, United States, 15-16 April 2019 / Kehtarnavaz N., Carlsohn M. (red.), Proceedings of SPIE: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments, 2019, SPIE - The International Society for Optics and Photonics, ISBN 9781510626577, art. no. 109960M 1-12, DOI:10.1117/12.2519301

98. 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

99. K. Radlak, M. Frackiewicz, H. Palus, B. Smołka, Automated finger joint synovitis localization in ultrasound images, Automatyzacja procesów dyskretnych. Teoria i zastosowania, Tom II, p. 179-188, 2015, ISBN 978-83-62652-79-2

100. 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

101. 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

102. 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

103. 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

104. 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,

105. 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.)

106. 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

107. 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

108. K. Malik, B. Machala, B. Smołka: Noise Reduction in Ultrasound Images Based on the Concept of Local Neighborhood Exploration, Image Processing & Communications Challenges 6
Advances in Intelligent Systems and Computing Volume 313, 2015, pp 103-110, ISBN:978-3-319-10661-8

109. 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

110. Popowicz A., Cyganek B., Smołka B., Lipschitz Cover Based Image Colorization, Infusing Research and Knowledge in South-East Europe, ISBN 978-960-9416-07-8, ISSN 1791-3578, Vol. 9, Edited by: R. Dautov et al., 9th South East European Doctoral Student Conference, 25 - 26 September 2014 (DSC 2014), Thessaloniki, Greece,

111. 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,

112. 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

113. 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

114. 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