Temat: odtworzenie obrazu - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Bivariate Hahn moments for image reconstruction
Autorzy:: Wu, H.
Yan, S.
Powiązania:: https://bibliotekanauki.pl/articles/331058.pdf
Data publikacji:: 2014
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: bivariate Hahn moments
bivariate Hahn polynomials
image reconstruction
pattern recognition
odtworzenie obrazu
rozpoznawanie obrazu
Opis:: This paper presents a new set of bivariate discrete orthogonal moments which are based on bivariate Hahn polynomials with non-separable basis. The polynomials are scaled to ensure numerical stability. Their computational aspects are discussed in detail. The principle of parameter selection is established by analyzing several plots of polynomials with different kinds of parameters. Appropriate parameters of binary images and a grayscale image are obtained through experimental results. The performance of the proposed moments in describing images is investigated through several image reconstruction experiments, including noisy and noise-free conditions. Comparisons with existing discrete orthogonal moments are also presented. The experimental results show that the proposed moments outperform slightly separable Hahn moments for higher orders.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2014, 24, 2; 417-428
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Nonparametric design of impulsive noise removal in colour images
Autorzy:: Smolka, B.
Budzan, S.
Lukač, R.
Powiązania:: https://bibliotekanauki.pl/articles/333676.pdf
Data publikacji:: 2004
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: wzmocnienie obrazu kolorowego
impulsywne usuwanie szumów
odtworzenie obrazu
colour image enhancement
impulsive noise removal
image restoration
Opis:: In this paper the problem of nonparametric impulsive noise removal in multichannel images is addressed. The proposed filter class is based on the nonparametric estimation of the density probability function in a sliding filter window. The obtained results show good noise removal capabilities and excellent structure preserving properties of the new impulsive noise removal technique.
Źródło:: Journal of Medical Informatics & Technologies; 2004, 7; MIP3-12
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: A well-posed multiscale regularization scheme for digital image denoising
Autorzy:: Prasath, V. B. S.
Powiązania:: https://bibliotekanauki.pl/articles/930148.pdf
Data publikacji:: 2011
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: odtworzenie obrazu
sterowanie adaptacyjne
regularyzacja
image restoration
edge-preserving
regularization
normalized local variance
adaptive parameter
Opis:: We propose an edge adaptive digital image denoising and restoration scheme based on space dependent regularization. Traditional gradient based schemes use an edge map computed from gradients alone to drive the regularization. This may lead to the oversmoothing of the input image, and noise along edges can be amplified. To avoid these drawbacks, we make use of a multiscale descriptor given by a contextual edge detector obtained from local variances. Using a smooth transition from the computed edges, the proposed scheme removes noise in flat regions and preserves edges without oscillations. By incorporating a space dependent adaptive regularization parameter, image smoothing is driven along probable edges and not across them. The well-posedness of the corresponding minimization problem is proved in the space of functions of bounded variation. The corresponding gradient descent scheme is implemented and further numerical results illustrate the advantages of using the adaptive parameter in the regularization scheme. Compared with similar edge preserving regularization schemes, the proposed adaptive weight based scheme provides a better multiscale edge map, which in turn produces better restoration.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2011, 21, 4; 769-777
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Application of the adaptive noise removal technique to the enhancement of cDNA microarray images
Autorzy:: Smolka, B.
Bieda, R.
Powiązania:: https://bibliotekanauki.pl/articles/333786.pdf
Data publikacji:: 2005
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: wzmocnienie obrazu kolorowego
impulsywne usuwanie szumów
mikromacierze
odtworzenie obrazu
colour image enhancement
impulsive noise removal
microarray
image restoration
Opis:: 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.
Źródło:: Journal of Medical Informatics & Technologies; 2005, 9; 131-142
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: An efficient algorithm for adaptive total variation based image decomposition and restoration
Autorzy:: Liu, X.
Huang, L.
Powiązania:: https://bibliotekanauki.pl/articles/330619.pdf
Data publikacji:: 2014
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: image decomposition
image restoration
adaptive total variation
H-1 norm
split Bregman method
dekompozycja obrazu
odtworzenie obrazu
wariacja zupełna adaptacyjna
metoda Bregmana
Opis:: With the aim to better preserve sharp edges and important structure features in the recovered image, this article researches an improved adaptive total variation regularization and H^-1 norm fidelity based strategy for image decomposition and restoration. Computationally, for minimizing the proposed energy functional, we investigate an efficient numerical algorithm—the split Bregman method, and briefly prove its convergence. In addition, comparisons are also made with the classical OSV (Osher–Sole–Vese) model (Osher et al., 2003) and the TV-Gabor model (Aujol et al., 2006), in terms of the edge-preserving capability and the recovered results. Numerical experiments markedly demonstrate that our novel scheme yields significantly better outcomes in image decomposition and denoising than the existing models.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2014, 24, 2; 405-415
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Application of the partitioning method to specific Toeplitz matrices
Autorzy:: Stanimirović, P.
Miladinović, M.
Stojanović, I.
Miljković, S.
Powiązania:: https://bibliotekanauki.pl/articles/330588.pdf
Data publikacji:: 2013
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: Moore-Penrose inverse
partitioning method
Toeplitz matrices
MATLAB
image restoration
odwrotność Moore-Penrose
metoda partycjonowania
macierze Teoplitza
odtworzenie obrazu
Opis:: We propose an adaptation of the partitioning method for determination of the Moore–Penrose inverse of a matrix augmented by a block-column matrix. A simplified implementation of the partitioning method on specific Toeplitz matrices is obtained. The idea for observing this type of Toeplitz matrices lies in the fact that they appear in the linear motion blur models in which blurring matrices (representing the convolution kernels) are known in advance. The advantage of the introduced method is a significant reduction in the computational time required to calculate the Moore–Penrose inverse of specific Toeplitz matrices of an arbitrary size. The method is implemented in MATLAB, and illustrative examples are presented.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2013, 23, 4; 809-821
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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