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1
Content available On the adaptive impulsive noise reduction in color images
100%
Smolka B.
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2010
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tom Vol. 16
193--200
EN
In this paper a novel class of noise attenuating and edge enhancing filters for color image processing is introduced and analyzed. The proposed adaptive filter design is minimizing the cumulative dissimilarity measure of a cluster of pixels belonging to the sliding filtering window and outputs the centrally located pixel. The proposed filter is computationally efficient, easy to implement and very effective in suppressing impulsive noise, while preserving image details and enhancing its edges. Therefore it can be used in any application in which simultaneous denoising and edge enhancement is a prerequisite for further steps of the color image processing pipeline.
2
Content available On the application of the forward and backward diffusion scheme for image enhancement
100%
Smolka B.
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tom Vol. 3
MI51--60
EN
In this paper a novel approach to the problem of edge preserving smoothing is proposed and evaluated. The new algorithm is based on the combined forward and backward anisotropic diffusion with incorporated time dependent cooling process. This method is able to efficiently remove image noise, while preserving and enhancing its edges.
3
Content available Modified central weighted vector median filter
100%
Smolka B.
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tom Vol. 3
MI41--49
EN
A new filtering approach designed to eliminate impulsive noise in color images, while preserving fine image details is presented. The computational complexity of the new filter is significantly lower than that of the Central Weighted Vector Median Filter (CWVMF). The comparison shows that the new filter outperforms the CWVMF, as well as other standard procedures used in color image filtering for the removal of impulsive noise.
4
Content available On the adaptive impulsive noise removal in color images
100%
Smolka B.
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2009
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tom Vol. 13
23--29
EN
In this paper a novel adaptive filtering scheme for impulsive noise removal in colour images is presented. The noise detection algorithm is based on the concept of aggregated distances assigned to the pixels belonging to the filtering window. The value of the difference between the accumulated distance assigned to the central sample and to the pixel with the lowest rank, serves as an indicator of the presence of impulses injected into the image by the noise process. The output of the proposed filter is a weighted mean of the central pixel of the filtering window and the vector median of its samples. The obtained results show that the proposed filter outperforms existing impulse noise removal techniques for low noise contamination and can be used in various applications in which the detail preserving reduction of impulses play an important role.
5
Content available Application of the adaptive noise removal technique to the enhancement of cDNA microarray images
63%
Smolka B. , Bieda R.
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2005
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tom Vol. 9
131--142
EN
In this paper a novel class of filters designed for the removal of impulsive noise in colour images is presented. The proposed filter family is based on the kernel function which controls the noise suppression properties of the new filtering scheme. The comparison of the new filtering method with the standard techniques used for impulsive noise removal indicates its superior noise removal capabilities and excellent structure preserving properties. The proposed filtering scheme has been successfully applied to the denoising of the cDNA microarray images. Experimental results proved that the new filter is capable of removing efficiently the impulses present in multichannel images, while preserving their textural features.
6
Image colorization with competitive propagation paths and chrominance blending
63%
Kawulok M. , Smolka B.
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tom Vol. 31, nr 2A
321-333
EN
This paper presents a new method for image colorization based on manually added scribbles. First, we determine color propagation paths in the image by minimizing geodesic distance from the scribbles using Dijkstra algorithm. After that, blending distance is calculated along each path to determine final chrominance. The results are compared with those obtained with other existing methods.
PL
Artykuł przedstawia nową metodę koloryzacji obrazów na podstawie ręcznie naniesionych mazów. Pierwszym krokiem jest znalezienie ścieżek propagacji barwy w obrazie poprzez minimalizację odległości za pomocą algorytmu Dijkstry. Następnie obliczana jest odległość barwna wzdłuż każdej wyznaczonej ścieżki i na jej podstawie dokonywane jest mieszanie chrominancji. Wyniki działania algorytmu są porównane z otrzymanymi za pomocą innych istniejących metod.
7
Content available Adaptive impulse detection based approaches for the noise reduction in heart image sequences
63%
Smolka B. , Lukac R.
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tom Vol. 3
MI21--29
EN
This paper focuses on three-dimensional (3-D) adaptive median filters based on the impulse detection approach designed to effectively remove the impulse noise from cardiographic image sequences. Impulse noise affects the useful information in the form of bit errors and it introduces to the image high frequency changes that prohibit to process and to evaluate the heart dynamics correctly. Therefore biomedical imaging such as vascular imaging and quantification of heart dynamics is closely related to digital filtering. In order to suppress impulse noise effectively, well-known non-linear filters based on the robust order-statistic theory provide interesting results. Although median filters have excellent impulse noise attenuation characteristics, their performance is often accompanied by undesired processing of noise-free samples resulting in edge blurring. The reason is that median filters do not satisfy the superposition property and thus the optimal filtering situation where only noisy samples are affected can never be fully obtained. The presented adaptive impulse detection based median filters, can achieve the excellent balance between the noise suppression and the signal-detail preservation. In this paper, the performance of the proposed approaches is successfully tested for the heart image sequence of 38 frames and the wide range of noise corruption intensity. The results are evaluated in terms of mean absolute error, mean square error and cross correlation.
8
On the modification of the bilateral noise removal in color images
63%
Malik K. , Smolka B.
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2012
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tom T. 20
37--44
EN
In this paper, a novel approach to the problem of noise removal in color images is presented. The proposed filtering design is a modification of the bilateral denoising scheme, which takes into account the similarity of color pixels and their spatial distance. However, instead of direct calculation of the dissimilarity measure, the cost of a connection through a digital path joining the center of the filtering window with the remaining pixels is determined. The filter output, like in the standard bilateral filter, is calculated as a weighted average of the pixels surrounding the central pixel and the weights are functions of the minimal connection costs. Experimental results prove that the introduced design yields significantly better results than the standard bilateral filter in case of color images contaminated by strong mixed Gaussian and impulsive noise.
PL
W niniejszej pracy zostało zaprezentowane nowatorskie podejście do problemu redukcji szumów w barwnych obrazach cyfrowych. Proponowany model filtracji jest modyfikacją filtru dwuczłonowego, który uwzględnia podobieństwo barwnych pikseli oraz ich odległości w dziedzinie obrazu, jednakże zamiast bezpośredniego obliczania miary podobieństwa, ustalany jest koszt połączenia środka okna filtracji z pozostałymi pikselami za pomocą cyfrowej ścieżki. Wynik filtracji, podobnie jak w przypadku standardowego filtru dwuczłonowego, jest obliczany jako średnia ważona pikseli wokół piksela centralnego, a wagi są funkcjami minimalnych kosztów połączeń. Wyniki przeprowadzonych doświadczeń dowodzą, że w przypadku barwnych obrazów zaszumionych mieszaniną szumu gaussowskiego i impulsowego o dużej intensywności, wprowadzona modyfikacja daje znacznie lepsze rezultaty niż standardowy filtr dwuczłonowy.
9
New color image impulsive noise reduction algorithm
51%
Smolka B. , Wojciechowski K. , Plataniotis K. N. , Venetsanopoulos A. N.
Journal of Medical Informatics & Technologies
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2000
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tom Vol. 1
IT 87--90
EN
In this paper a new approach to the problem of impulsive noise reduction for color images is introduced. The presented self-adaptive image filter is based on a model of a virtual particle, which performs a random walk on the image lattice, with transition probabilities derived from the Gibbs distribution. The major advantage of the new filtering technique, is that it filters out the noise component, while adapting itself to the local image structures. In this way the new algorithm is able to eliminate strong impulsive noise, while preserving edges and fine image details. As the algorithm is a fuzzy modification of the commonly used vector median operator, it is very fast and easy to implement. Our results show that the proposed method outperforms all standard algorithms of the reduction of impulsive noise in color images.
10
Content available Finger joint synovitis detection in ultrasound images
51%
Radlak K. , Frackiewicz M. , Palus H. , Smolka B.
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nr 2
11
On the noise attenuation in DNA microarray images
51%
Smolka B. , Szczepański M. , Wojciechowski K. , Plataniotis K. N.
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2001
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tom Vol. 2, Part. 1
MI19--MI27
EN
In this paper a novel method of noise reduction in color images is presented. The new technique is capable of attenuating both impulsive and Gaussian noise, while preserving and even enhancing sharpness of the image edges. Extensive simulations reveal that the new method outperforms significantly the standard techniques widely used in multivariate signal processing. In this work we apply the new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing various kinds of noise present in microarray images and that it enables efficient spot location and estimation of the gene expression level due to the smoothing effect and preservation of the spot edges. This paper contains the comparison of the new technique of noise reduction with the standard procedures used for the processing of vector valued images, as well as examples of the efficiency of the new algorithm when applied to typical microarray images.
12
Ocena spożycia alkoholu, kawy i palenia papierosów wśród kobiet w ciąży
38%
Wyka J. , Misiarz M. , Malczyk E. , Zolotenka-Synowiec M. , Calyniuk B. , Smolka B. , Mazurek D.
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nr 3
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