Prof. Boguslaw Cyganek Profile

Prof. Boguslaw Cyganek

at AGH Univ of Science and Technology

SPIE Involvement:

Author

Publications (10)

Proceedings Article | 7 June 2024 Presentation + Paper

Color image denoising: a hybrid approach for mixed Gaussian and impulsive noise

Bogdan Smolka, Damian Kusnik, Milena Smolka, Michal Kawulok, Boguslaw Cyganek

Proceedings Volume 13034, 1303405 (2024) https://doi.org/10.1117/12.3013424

KEYWORDS: Denoising, Digital filtering, Image filtering, Interpolation, Image processing, Distortion

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Proceedings Article | 14 May 2019 Paper

Visual front-end for underwater scene change detection and environment monitoring by the autonomous drone

Boguslaw Cyganek, Bogdan Smolka

Proceedings Volume 10996, 109960U (2019) https://doi.org/10.1117/12.2519390

KEYWORDS: Signal detection, Signal processing, Video, Distance measurement, Environmental monitoring, Environmental sensing, Video surveillance, Signal analyzers, Underwater imaging

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Proceedings Article | 14 May 2019 Presentation + Paper

Robust switching technique of impulsive noise removal in color digital images

Bogdan Smolka, Boguslaw Cyganek, Michal Kawulok, Jakub Nalepa

Proceedings Volume 10996, 109960M (2019) https://doi.org/10.1117/12.2519301

KEYWORDS: Digital filtering, Image filtering, Image processing, Switching, Optical filters, Denoising, Image enhancement, Distance measurement, Quality measurement, Video

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In this paper a novel method of impulsive noise removal in color images is presented. The proposed filtering design is based on a new measure of pixel similarity, which takes into account the structure of the local neighborhood of the pixels being compared. Thus, the new distance measure can be regarded as an extension of the reachability distance used in the construction of the local outlier factor, widely used in the big data analysis. Using the new similarity measure, an extension of the classic Vector Median Filter (VMF) has been developed. The new filter is extremely robust to outliers introduced by the impulsive noise, retains details and has the unique ability to sharpen image edges. Using the structure of the developed filter, a new impulse detector has been constructed. The cumulated sum of smallest reachability distances in the filtering window serves as a robust measure of pixel outlyingness. In this way, a pixel will be treated as corrupted if a predefined threshold is exceeded and will be replaced by the average of pixels which were found to belong to the original, pristine image; otherwise the processed pixel will be retained. This structure is similar to the Fast Averaging Peer Group Filter, however the incorporation of the reachability measure makes this technique more robust. The new filtering design can be applied in real time scenario, as its computational efficiency is comparable with the standard VMF, which is fast enough to be used for the enhancement of video sequences. The new filter operates in a 3×3 filtering window, however the information acquired from a larger window is processed. The source of additional information is the local neighborhood of pixels, which is used for the determination of the novel reachability measure. The experiments performed on a large database of color images show that the new filter surpasses existing designs especially in the case of highly polluted images. The robust reachability measure assures that the clusters of impulses are being removed, as not only the pixels, but also their neighborhoods are considered. The novel measure of dissimilarity can be also used in other tasks whose main goal is the detection of outliers.

SPIE Journal Paper | 5 July 2018

Real-time marine snow noise removal from underwater video sequences

Boguslaw Cyganek, Karol Gongola

JEI, Vol. 27, Issue 04, 043002, (July 2018) https://doi.org/10.1117/12.10.1117/1.JEI.27.4.043002

KEYWORDS: Ocean optics, Particles, Oceanography, Video, Digital filtering, Image filtering, Optical filters, Coastal modeling, Image processing, 3D video streaming

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Proceedings Article | 14 May 2018 Presentation + Paper

Robust enhancement technique for color images corrupted by impulsive noise

Bogdan Smolka, Jakub Nalepa, Michal Kawulok, Boguslaw Cyganek

Proceedings Volume 10670, 1067003 (2018) https://doi.org/10.1117/12.2303717

KEYWORDS: Image filtering, Image enhancement, Digital filtering, Denoising, Gaussian filters, Optical filters, Image processing, Contamination, Roads, Image quality

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Proceedings Article | 14 May 2018 Paper

Real-time stereovision framework for underwater drone maneuvering

Bogusław Cyganek, Bogdan Smołka

Proceedings Volume 10670, 106700L (2018) https://doi.org/10.1117/12.2305096

KEYWORDS: Cameras, Video, Imaging systems, Signal processing, Navigation systems, Water, Calibration, Light sources and illumination, Image acquisition, Atmospheric propagation

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Proceedings Article | 29 April 2016 Paper

Real-time framework for tensor-based image enhancement for object classification

Bogusław Cyganek, Bogdan Smołka

Proceedings Volume 9897, 98970Q (2016) https://doi.org/10.1117/12.2227797

KEYWORDS: Image enhancement, Image quality, Super resolution, Image enhancement, Image classification, Electronic filtering, Nonlinear filtering, Image processing, Pattern recognition, Object recognition, Digital imaging, Multidimensional signal processing, Matrices, Classification systems, Prototyping, Video

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Proceedings Article | 29 April 2016 Paper

Application of the local similarity filter for the suppression of multiplicative noise in medical ultrasound images

Damian Kusnik, Bogdan Smolka, Boguslaw Cyganek

Proceedings Volume 9897, 989704 (2016) https://doi.org/10.1117/12.2227650

KEYWORDS: Anisotropic filtering, Ultrasonography, Speckle, Medical imaging, Image quality, Image processing, Digital filtering, Linear filtering, Visualization, Cameras

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Proceedings Article | 27 February 2015 Paper

Real-time object recognition in multidimensional images based on joined extended structural tensor and higher-order tensor decomposition methods

Boguslaw Cyganek, Bogdan Smolka

Proceedings Volume 9400, 94000T (2015) https://doi.org/10.1117/12.2083367

KEYWORDS: Object recognition, Prototyping, Visualization, Multidimensional signal processing, Distance measurement, Anisotropic filtering, Nonlinear filtering, Classification systems, Matrices, Pattern recognition

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Proceedings Article | 27 February 2015 Paper

Impulsive noise suppression in color images based on the geodesic digital paths

Bogdan Smolka, Boguslaw Cyganek

Proceedings Volume 9400, 94000R (2015) https://doi.org/10.1117/12.2081831

KEYWORDS: Image filtering, Digital filtering, Image visualization, Image processing, Distance measurement, Digital imaging, Image quality, Quality measurement, Image compression, Image restoration

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Showing 5 of 10 publications

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