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    Wyświetlanie 1-8 z 8
    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
    Artykuł
    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
    Artykuł
    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
    Artykuł
    Tytuł:
    Restoration of Remote Satellite Sensing Images using Machine and Deep Learning : a Survey
    Autorzy:
    Abdellaoui, Meriem
    Benabdelkader, Souad
    Assas, Ouarda
    Powiązania:
    https://bibliotekanauki.pl/articles/31339413.pdf
    Data publikacji:
    2023
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Instytut Informatyki Technicznej
    Tematy:
    image restoration
    remote sensing images
    artificial intelligence
    AI
    machine learning
    ML
    deep learning
    DL
    convolutional neural network
    CNN
    Opis:
    Remote sensing satellite images are affected by different types of degradation, which poses an obstacle for remote sensing researchers to ensure a continuous and trouble-free observation of our space. This degradation can reduce the quality of information and its effect on the reliability of remote sensing research. To overcome this phenomenon, the methods of detecting and eliminating this degradation are used, which are the subject of our study. The original aim of this paper is that it proposes a state of art of recent decade (2012-2022) on advances in remote sensing image restoration using machine and deep learning, identified by this survey, including the databases used, the different categories of degradation, as well as the corresponding methods. Machine learning and deep learning based strategies for remote sensing satellite image restoration are recommended to achieve satisfactory improvements.
    Źródło:
    Machine Graphics & Vision; 2023, 32, 2; 147-167
    1230-0535
    2720-250X
    Pojawia się w:
    Machine Graphics & Vision
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    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
    Artykuł
    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
    Artykuł
    Tytuł:
    Restoration image degraded by a blurred variable in the field
    Autorzy:
    Bentahar, Y.
    Afifi, M.
    Dalimi, H.
    Amar, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/174974.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    blind image deconvolution
    restoration
    total variation
    Opis:
    Various methods of deconvolution have been developed for several decades, notably in astronomy and microscopy. The extension of these techniques to the case of a spatially varied blur is currently an open problem. In this work, we consider a zone-invariant point spread function model to take into account blur variation in the image. Thus an algorithm has been used where the minimization of the criterion is performed in parallel on different areas of the image, while taking into account the estimates in the neighboring areas of the sub-images under consideration, so that the final solution is the minimum of the criterion where the blur is spatially varied.
    Źródło:
    Optica Applicata; 2018, 48, 1; 5-14
    0078-5466
    1899-7015
    Pojawia się w:
    Optica Applicata
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Age-Type Identification and Classification of Historical Kannada Handwritten Scripts using Line Segmentation with HOG feature Descriptors
    Autorzy:
    Bannigidad, Parashuram
    Gudada, Chandrashekar
    Powiązania:
    https://bibliotekanauki.pl/articles/1075427.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    HOG
    K-NN
    Kannada
    LDA
    Line segmentation
    Recognition
    Restoration
    SVM
    Seam carving
    document image analysis
    handwritten script
    historical documents
    Opis:
    The offline handwritten text recognition is one of the most challenging tasks in document image analysis; our aim is to recreate the cultural importance of the Kannada Language writing tradition through the historical degraded manuscripts. In the present digital era, we need to protect and digitize the resources of our Indian culture and heritage by digitizing those manuscripts which are losing its status; the degraded manuscripts are influenced by weather condition. In this paper, we have attempted to identify and recognise the historical Kannada handwritten scripts of various dynasties; namely, Vijayanagara dynasty (1460 AD), Mysore Wadiyar dynasty (1936 AD), Vijayanagara dynasty (1400 AD) and Hoysala dynasty (1340 AD) by using the improved seam carving text line segmentation method with HOG feature descriptors. The average classification accuracy for different dynasties are computed. The LDA classifier is yielded 93.4%, K-NN classifier has yielded 92% and SVM classifier has 95.5%. Based on the experimentation, the SVM classifier has recorded good classification performance comparatively LDA and K-NN classifiers for historical Kannada handwritten scripts.
    Źródło:
    World Scientific News; 2019, 126; 23-35
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

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