Relevant bibliographies by topics / Vector Median Filter

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Vector Median Filter'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Vector Median Filter"

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Morillas, Samuel, and Valentín Gregori. "Robustifying Vector Median Filter." Sensors 11, no. 8 (2011): 8115–26. http://dx.doi.org/10.3390/s110808115.

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Liu, Yike. "Noise reduction by vector median filtering." GEOPHYSICS 78, no. 3 (2013): V79—V87. http://dx.doi.org/10.1190/geo2012-0232.1.

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The scalar median filter (SMF) is often used to reduce noise in scalar geophysical data. We present an extension of the SMF to a vector median filter (VMF) for suppressing noise contained in geophysical data represented by multidimensional, multicomponent vector fields. Although the SMF can be applied to each component of a vector field individually, the VMF is applied to all components simultaneously. Like the SMF, the VMF intends to suppress random noise while preserving discontinuities in the vector fields. Preserving such discontinuities is essential for exploration geophysics because disc
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Lin, Tzu-Chao, and Pao-Ta Yu. "Adaptive Two-Pass Median Filter Based on Support Vector Machines for Image Restoration." Neural Computation 16, no. 2 (2004): 333–54. http://dx.doi.org/10.1162/neco.2004.16.2.333.

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In this letter, a novel adaptive filter, the adaptive two-pass median (ATM) filter based on support vector machines (SVMs), is proposed to preserve more image details while effectively suppressing impulse noise for image restoration. The proposed filter is composed of a noise decision maker and two-pass median filters. Our new approach basically uses an SVM impulse detector to judge whether the input pixel is noise. If a pixel is detected as a corrupted pixel, the noise-free reduction median filter will be triggered to replace it. Otherwise, it remains unchanged. Then, to improve the quality o
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Wang, Yanghua, Xiwu Liu, Fengxia Gao, and Ying Rao. "Robust vector median filtering with a structure-adaptive implementation." GEOPHYSICS 85, no. 5 (2020): V407—V414. http://dx.doi.org/10.1190/geo2020-0012.1.

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The 3D seismic data in the prestack domain are contaminated by impulse noise. We have adopted a robust vector median filter (VMF) for attenuating the impulse noise from 3D seismic data cubes. The proposed filter has two attractive features. First, it is robust; the vector median that is the output of the filter not only has a minimum distance to all input data vectors, but it also has a high similarity to the original data vector. Second, it is structure adaptive; the filter is implemented following the local structure of coherent seismic events. The application of the robust and structure-ada
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Matsuoka, Jyohei, Takanori Koga, Noriaki Suetake, and Eiji Uchino. "Switching non-local vector median filter." Optical Review 23, no. 2 (2016): 195–207. http://dx.doi.org/10.1007/s10043-016-0184-z.

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Khriji, L. "Vector Directional Distance Rational Hybrid Filters for Color Image Restoration." Journal of Engineering Research [TJER] 2, no. 1 (2005): 1. http://dx.doi.org/10.24200/tjer.vol2iss1pp1-12.

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A new class of nonlinear filters, called vector-directional distance rational hybrid filters (VDDRHF) for multispectral image processing, is introduced and applied to color image-filtering problems. These filters are based on rational functions (RF). The VDDRHF filter is a two-stage filter, which exploits the features of the vector directional distance filter (VDDF), the center weighted vector directional distance filter (CWVDDF) and those of the rational operator. The filter output is a result of vector rational function (VRF) operating on the output of three sub-functions. Two vector directi
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Lukac, Rastislav, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos, and Bogdan Smolka. "A Statistically-Switched Adaptive Vector Median Filter." Journal of Intelligent and Robotic Systems 42, no. 4 (2005): 361–91. http://dx.doi.org/10.1007/s10846-005-1730-2.

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Yang, Sung-Chul, and Ki-Yun Yu. "Vector Median Filter for Alignment with Road Vector Data to Aerial Image." Korean Journal of Geomatics 29, no. 1 (2011): 63–69. http://dx.doi.org/10.7848/ksgpc.2011.29.1.63.

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Argenti, F., M. Barni, V. Cappellini, and A. Mecocci. "Vector median deblurring filter for colour image restoration." Electronics Letters 27, no. 21 (1991): 1899. http://dx.doi.org/10.1049/el:19911179.

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Huo, Shoudong, Yi Luo, and Panos G. Kelamis. "Simultaneous sources separation via multidirectional vector-median filtering." GEOPHYSICS 77, no. 4 (2012): V123—V131. http://dx.doi.org/10.1190/geo2011-0254.1.

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Simultaneous source acquisition technology, also referred to as “blended acquisition,” involves recording two or more shots simultaneously. Despite the fact that the recorded data has crosstalk from different shots, conventional processing procedures can still produce acceptable images for interpretation. This is due to the power of the stacking process using blended data with its increased data redundancy and inherent time delays between various shots. It is still desirable to separate the blended data into single shot gathers and reduce the crosstalk noise to achieve the highest seismic imag
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Dissertations / Theses on the topic "Vector Median Filter"

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Ozturk, Mahir. "Markov Random Field Based Road Network Extraction From High Resoulution Satellite Images." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615499/index.pdf.

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Road Networks play an important role in various applications such as urban and rural planning, infrastructure planning, transportation management, vehicle navigation. Extraction of Roads from Remote Sensed satellite images for updating road database in geographical information systems (GIS) is generally done manually by a human operator. However, manual extraction of roads is time consuming and labor intensive process. In the existing literature, there are a great number of researches published for the purpose of automating the road extraction process. However, automated processes still yield
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Lee, Jiin-Shinn, and 李錦信. "Research on Vector Median Filter." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/77920888499538324296.

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碩士<br>國立清華大學<br>資訊科學學系<br>81<br>Median filtering is a nonlinear filtering technique which is known for preserving sharp changes in signals and being effective in removing impulse noise. It is very widely used in and image processing since it was first described by Tukey. Neuvo in Finland first introduces the concepts of vector median. this approach, the samples of the vector-value input signal are processed as vectors instead of componentwise scalar processing. vector median utilize the co
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Book chapters on the topic "Vector Median Filter"

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Lukac, Rastislav, Bogdan Smolka, Konstantinos N. Plataniotis, and Anastasios N. Venetsanopoulos. "Entropy Vector Median Filter." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44871-6_129.

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Smolka, B., M. Szczepanski, K. N. Plataniotis, and A. N. Venetsanopoulos. "Fast Modified Vector Median Filter." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44692-3_69.

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Smolka, Bogdan. "Adaptive Generalized Vector Median Filter." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85920-8_4.

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Morillas, Samuel, Valentín Gregori, Guillermo Peris-Fajarnés, and Pedro Latorre. "A New Vector Median Filter Based on Fuzzy Metrics." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11559573_11.

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Smolka, Bogdan. "Efficient Modification of the Central Weighted Vector Median Filter." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45783-6_21.

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Zhang, Xiaohe. "A Novel Switching Vector Median Filter for Color Image Filtering." In Lecture Notes in Electrical Engineering. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4796-1_85.

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Toledo-Lopez, Antonio, Francisco J. Gallegos-Funes, and Volodymyr Ponomaryov. "Vector Median M-Type L Filter to Process Multichannel Images." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85920-8_7.

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Pan, Ying, and Shihui Wang. "A Detail Preserving Vector Median Filter Based on Texture Analysis." In IFIP Advances in Information and Communication Technology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00828-4_21.

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Roy, Amarjit, Snehal Chandra, and Rinku Rabidas. "Improved Switching Vector Median Filter for Removal of Impulse Noise from Color Images." In Advances in Smart Communication and Imaging Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9938-5_2.

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Sangwine, Stephen J., and Anthony J. Bardos. "Efficient computation of the 2-dimensional RGB vector median filter." In Proceedings IWISP '96. Elsevier, 1996. http://dx.doi.org/10.1016/b978-044482587-2/50070-7.

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Conference papers on the topic "Vector Median Filter"

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Kasparis, T., and George Eichmann. "Fast vector median filter algorithm." In OSA Annual Meeting. Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.mo6.

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Median filters (MFs) (or the more general rankorder filters) have proved very powerful in image processing. However, rank-order filters are generally considered to be more time-consuming than linear, e.g., averaging, filters. Several fast algorithms were devised for on-line or off-line filtering. Some of them are based on histogram calculation, whereas others are based on bit-by-bit calculation of the median. The vector median filter (VMF), introduced earlier by the authors, is a two-parameter family of median-type filters that outputs at each position a set of elements, i.e., a median vector.
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Smolka, Bogdan. "Robustified vector median filter." In 2014 9th International Conference on Computer Science & Education (ICCSE). IEEE, 2014. http://dx.doi.org/10.1109/iccse.2014.6926486.

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Smolka, Bogdan, and Michal Perczak. "Generalized Vector Median Filter." In 2007 5th International Symposium on Image and Signal Processing and Analysis. IEEE, 2007. http://dx.doi.org/10.1109/ispa.2007.4383700.

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Zhong, Ling, and Yun Zhang. "Robust Rank Vector Median Filter." In 2009 Third International Symposium on Intelligent Information Technology Application. IEEE, 2009. http://dx.doi.org/10.1109/iita.2009.39.

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Smolka, Bogdan. "Adaptive truncated Vector Median Filter." In 2011 IEEE International Conference on Computer Science and Automation Engineering (CSAE). IEEE, 2011. http://dx.doi.org/10.1109/csae.2011.5952847.

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Smolka, Bogdan. "Robust Sharpening Vector Median Filter." In 2018 International Automatic Control Conference (CACS). IEEE, 2018. http://dx.doi.org/10.1109/cacs.2018.8606777.

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Kasparis, T., and G. Eichmann. "Image processing using vector median filters." In OSA Annual Meeting. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.thx1.

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A new two-parameter family of median type filter (MF), termed the vector median filter (VMF).that outputs at each pass a set of numbers, is described. Here, the order of the sort depends on the sign of the first derivative of the signal in the data window. If the sign is positive (negative), the sort is in increasing (decreasing) order. The VMF preserves edges while it filters out impulses. Because of its two design parameters, the VMF offers a wider range of filtering possibilities. For example, one can adaptively adjust the subwindow according to the results of the derivative test. While com
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Fei He, Qingsong Bao, and Dongchu Jiang. "Detail-perservation adaptive vector median filter." In 2011 International Conference on Computer Science and Network Technology (ICCSNT). IEEE, 2011. http://dx.doi.org/10.1109/iccsnt.2011.6182517.

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Liu, Yike, and Yi Luo. "Reducing random noise in vector field using vector median filter." In SEG Technical Program Expanded Abstracts 2012. Society of Exploration Geophysicists, 2012. http://dx.doi.org/10.1190/segam2012-0027.1.

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Boudabous, A., A. Ben Atitallah, P. Kadionik, L. khriji, and N. Masmoudi. "HW/SW FPGA implementation of Vector Median Filter." In 2007 Ph.D Research in Microelectronics and Electronics Conference. IEEE, 2007. http://dx.doi.org/10.1109/rme.2007.4401821.

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Reports on the topic "Vector Median Filter"

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Granado, Camilo, and Daniel Parra-Amado. Estimating the Output Gap After COVID: How to Address Unprecedented Macroeconomic Variations. Banco de la República, 2023. http://dx.doi.org/10.32468/be.1249.

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This study examines whether and how important it is to adjust output gap frameworks during the COVID-19 pandemic and similar unprecedentedly large-scale episodes. Our proposed modelling framework comprises a Bayesian Structural Vector Autoregressions with an identification setup based on a permanent-transitory decomposition that exploits the long-run relationship of consumption with output and whose residuals are scaled up around the COVID-19 period. Our results indicate that (i) a single structural error is usually sufficient to explain the permanent component of the gross domestic product (G
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