Temat: inverse filter - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: An Adaptive Richardson-Lucy Algorithm for Medical Image Restoration
Autorzy:: Yaqoub, Qunoot A.
Al-Ani, Ayad A.
Powiązania:: https://bibliotekanauki.pl/articles/2200960.pdf
Data publikacji:: 2023
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: constraint least square filter
Gaussian blurring function
Gaussian noise function
inverse filter
non-blind deconvolution
point spread function
Richardson-Lucy algorithm
Wiener filter
Opis:: Image restoration is the process of estimating the original image content from a degraded picture. In this paper, the Richardson-Lucy iterative algorithm was developed to improve the quality of degraded medical images. It has been assumed that medical images are exposed to two types of degradation. The first type is the blur function in the Gaussian form with different widths, i.e. σ = 1 , 2, and 3. The second type of degradation was assumed to be of the independent white Gaussian noise type with different signal-to-noise ratio values: SNR = 10, 50 , and 100. The results obtained from the adaptive filter are compared, quantitatively, with different conventional filters: inverse, Wiener, and constraint least square, by applying different measures, such as: power signal to noise ratio (PSNR), structural similarity index (SSID), and root mean square error (RMSE). The comparison showed that the adaptive recovery filter achieves better results.
Źródło:: Journal of Telecommunications and Information Technology; 2023, 1; 66--77
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Manipulating the magnetization focal patterns using complex phase filters
Autorzy:: Udhayakumar, M.
Prabakaran, K.
Rajesh, K. B.
Jaroszewicz, Z.
Velauthapillai, D.
Powiązania:: https://bibliotekanauki.pl/articles/173684.pdf
Data publikacji:: 2019
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: inverse Faraday effect
high NA lens
multi belt complex phase filter
azimuthally polarized Bessel–Gauss beam
Opis:: Based on vector diffraction theory and inverse Faraday effect, the light induced magnetization distribution of a tightly focused azimuthally polarized Bessel–Gauss beam superimposed with a helical phase and modulated by an optimized multi belt complex phase filter (MBCPF) is analyzed numerically. It is noted that by adjusting the radii of different rings of the complex phase filter, one can achieve many novel magnetization focal distributions, such as sub-wavelength scale (0.29λ) and super-long (71λ) pure longitudinal magnetic probe and magnetization chain composed of nine, six and four magnetic spots of sub-wavelength scale. The authors expect that these results pave the path for fabricating magnetic lattices for spin wave operation, multiple atoms or magnetic particle trapping and transportation, confocal and magnetic resonance microscopy, as well as multilayer ultrahigh density magnetic storage.
Źródło:: Optica Applicata; 2019, 49, 4; 613-625
0078-5466
1899-7015
Pojawia się w:: Optica Applicata
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Simultaneous localization and mapping for tracked wheel robots combining monocular and stereo vision
Autorzy:: Jesus, F.
Ventura, R.
Powiązania:: https://bibliotekanauki.pl/articles/384393.pdf
Data publikacji:: 2013
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: simultaneous localisation and mapping
extended Kalman filter
feature detector
inverse depth parametrization
landmark evaluation
temporal difference learning
Opis:: This paper addresses an online 6D SLAM method for a tracked wheel robot in an unknown and unstructured environment. While the robot pose is represented by its position and orientation over a 3D space, the environment is mapped with natural landmarks in the same space, autonomously collected using visual data from feature detectors. The observation model employs opportunistically features detected from either monocular and stereo vision. These features are represented using an inverse depth parametrization. The motion model uses odometry readings from motor encoders and orientation changes measured with an IMU. A dimensional-bounded EKF (DBEKF) is introduced here, that keeps the dimension of the state bounded. A new landmark classifier using a Temporal Difference Learning methodology is used to identify undesired landmarks from the state. By forcing an upper bound to the number of landmarks in the EKF state, the computational complexity is reduced to up to a constant while not compromising its integrity. All experimental work was done using real data from RAPOSA-NG, a tracked wheel robot developed for Search and Rescue missions.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2013, 7, 1; 21-27
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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