Academic literature on the topic 'Speckle Filter'

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Journal articles on the topic "Speckle Filter"

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Hu, J., R. Guo, X. Zhu, G. Baier, and Y. Wang. "NON-LOCAL MEANS FILTER FOR POLARIMETRIC SAR SPECKLE REDUCTION-EXPERIMENTS USING TERRASAR-X DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W4 (March 11, 2015): 71–77. http://dx.doi.org/10.5194/isprsannals-ii-3-w4-71-2015.

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The speckle is omnipresent in synthetic aperture radar (SAR) images as an intrinsic characteristic. However, it is unwanted in certain applications. Therefore, intelligent filters for speckle reduction are of great importance. It has been demonstrated in several literatures that the non-local means filter can reduce noise while preserving details. This paper discusses non-local means filter for polarimetric SAR (PolSAR) speckle reduction. The impact of different similarity approaches, weight kernels, and parameters in the filter were analysed. A data-driven adaptive weight kernel was proposed.
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Bonny, Sarungbam, and Yambem Jina Chanu. "Speckle Reduction in SAR Images by Using Homogeneity NeighShrink." European Journal of Engineering and Technology Research 1, no. 4 (2018): 9–14. http://dx.doi.org/10.24018/ejeng.2016.1.4.176.

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Synthetic Aperture Radar (SAR) image suffers from severe artifacts caused by speckle noise which is multiplicative in nature. Some of the adaptive filters such as the Lee filter, the Frost filter and the Kuan filter are the well known speckle filters. These filters adapt the filter coefficients based on the pixels within a fixed moving window. Though it removes speckle noise well in the homogeneous regions, it leaves noise in the heterogeneous areas to preserve the edges and fine details or smoothes the edges to remove the noise in this area. In order to reduce the speckle noise with the prese
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Jayanthi Sree, S., and C. Vasanthanayaki. "De-Speckling of Ultrasound Images Using Local Statistics-Based Trilateral Filter." Journal of Circuits, Systems and Computers 28, no. 09 (2019): 1950150. http://dx.doi.org/10.1142/s0218126619501500.

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Speckle noise in ultrasound images is a major hindrance for the automation of segmentation, detection, classification and measurements of region of interest, to assist clinician for diagnosing pathologies. Speckle noise occurs due to constructive and destructive interference of the echo signals reflected from the target and has a granular appearance. Various techniques have been devised for speckle reduction. Most of these techniques are based on adaptive filters, wavelet transform and anisotropic diffusion filters. In this paper, a new speckle reduction technique based on the trilateral filte
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Tuzova, A. A., V. A. Pavlov, and A. A. Belov. "Reduction of Multiplicative Noise in Radar Images." Journal of the Russian Universities. Radioelectronics 24, no. 4 (2021): 6–18. http://dx.doi.org/10.32603/1993-8985-2021-24-4-6-18.

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Introduction. A radar image is an image obtained by remote sensing the earth's surface with a radar device. Radar images are characterized by background graininess caused by speckle noise, which should be filtered to improve the quality of radar images. The structure of speckle noise reduction filters often comprise one or more parameters to control the level of noise smoothing. The values of these parameters have to be selected experimentally. In works devoted to speckle noise filtering, the methods used for selecting filter paraments are rarely clarified.Aim. To present a methodology for sel
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Aessa, Suad Ali, Ekbal Hussain Ali, Salam Waley Shneen, and Layla H. Abood. "Adaptive Fuzzy Filter Technique for Mixed Noise Removing from Sonar Images Underwater." Journal of Fuzzy Systems and Control 2, no. 2 (2024): 45–49. https://doi.org/10.59247/jfsc.v2i2.176.

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Underwater Analysis of acquired images may be affected by low contrast, haze, and other disturbances., caused by scattering and absorption of the light through propagation. An adaptive fuzzy filter for three mixed noise reduction is adopted on underwater sonar images to take out the various noises that either appear in the image when captured or injected into the image when transmitted. Underwater images when captured usually have speckle noise, salt, pepper noise also Gaussian noise. Is suggested in this paper an adaptive fuzzy filter structure that combines the fuzzy filter, sigmoid sliding
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Guo, Fei, Mei Zhao, Xiu Ying Fan, Jin He Bao, and Wen Bang Sun. "Filtering of Electronic Speckle Correlation Fringes." Applied Mechanics and Materials 198-199 (September 2012): 1202–7. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1202.

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Speckle correlation fringes include a large quantity of speckle noise. It is first to consider how to reduce speckle noise before using phase formula to calculate. Filter is usually used to reduce speckle noise. From two aspects of frequency domain and space domain, we adopted mean filter, medium filter, Butterworth low-pass filter and homomorphism filter to process the speckle correlation fringes obtained by experiment. It is shown that the speckle correlation fringes are clearer and more easily interpreted and automatic processed after being filtered.
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Biradar, Nagashettappa, M. L. Dewal, and Manoj Kumar Rohit. "Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters." International Scholarly Research Notices 2014 (October 30, 2014): 1–11. http://dx.doi.org/10.1155/2014/876434.

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Echocardiographic images are inherent with speckle noise which makes visual reading and analysis quite difficult. The multiplicative speckle noise masks finer details, necessary for diagnosis of abnormalities. A novel speckle reduction technique based on integration of geometric, wiener, and fuzzy filters is proposed and analyzed in this paper. The denoising applications of fuzzy filters are studied and analyzed along with 26 denoising techniques. It is observed that geometric filter retains noise and, to address this issue, wiener filter is embedded into the geometric filter during iteration
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Ueng, Shyh-Kuang, Cho-Li Yen, and Guan-Zhi Chen. "Ultrasound Image Enhancement Using Structure-Based Filtering." Computational and Mathematical Methods in Medicine 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/758439.

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Ultrasound images are prone to speckle noises. Speckles blur features which are essential for diagnosis and assessment. Thus despeckling is a necessity in ultrasound image processing. Linear filters can suppress speckles, but they smooth out features. Median filter based despeckling algorithms produce better results. However, they may produce artifact patterns in the resulted images and oversmooth nonuniform regions. This paper presents an innovative despeckle procedure for ultrasound images. In the proposed method, the diffusion tensor of intensity is computed at each pixel at first. Then the
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Ristau, J. P., and Wooil M. Moon. "Adaptive filtering of random noise in 2-D geophysical data." GEOPHYSICS 66, no. 1 (2001): 342–49. http://dx.doi.org/10.1190/1.1444913.

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Random noise is often a problem in geophysical data visualization because it obscures fine details and complicates identification of image features. Adaptive filters have recently been used to suppress speckle (random) noise in synthetic aperture radar (SAR) images. SAR data are similar to seismic reflection data, both in their data acquisition approach and in their final data processed format. The nature of the random noise associated is also very similar, and adaptive filters can be applied to reduce random noise in both types of data sets. In this paper several popular adaptive filters—the
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Singh, Prabhishek, Ankur Maurya, Achyut Shankar, Sathishkumar V. E., and Manoj Diwakar. "A Review on Speckle Reduction Techniques in SAR images." Applied and Computational Engineering 8, no. 1 (2023): 714–20. http://dx.doi.org/10.54254/2755-2721/8/20230069.

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Synthetic Aperture Radar (SAR) is satellite imagery that has multiple applications in variegated fields but is often corrupted by single dependent multiplicative speckle noise. Its multiplicative nature decreases scope for image perception, recognition & limits SAR images applications. Thus, increasing the need for effective & astute SAR image despeckling techniques that not only excise speckle noise but also preserve SAR imageries features, details, and resolution quality. This study analyses various research literature & techniques namely, Adaptive Speckle Reduction Filter, Condi
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Dissertations / Theses on the topic "Speckle Filter"

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Kuchař, Otakar. "Potlačení strukturního šumu typu spekle." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-378027.

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Master thesis deals with the study of ultrasound. The first part of this work is devoted to basic physical principles, imaging modes, ultrasound probes, biological effects and the last part is associated with the artifact associated with ultrasound waves. In the next part the specific noise called speckle noise is detaily discussed. The description includes both a mathematical and a statistical view. Several methods are described to eliminate this noise. In the practical part the described methods are realized and compared based on objective and subjective evaluation.
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Touzi, Ridha. "Analyse d'images radar en teledetection : ameliorations radiometriques, filtrage du speckle et detection de contours." Toulouse 3, 1988. http://www.theses.fr/1988TOU30040.

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La reponse radar d'une cible est caracterisee par un parametre, le coefficient de retrodiffusion, dont les variations contiennent l'essentiel de l'information concernant la cible. L'objectif de ce travail est d'extraire ce parametre a partir des donnees images fournies par les radars aeroportes ou spatiaux a antenne synthetique et de developper des outils qui pourraient etre integres dans les methodes d'extraction automatique de ce parametre
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Masuku, Anthony Dumisani. "Planetary rovers and data fusion." Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/9883.

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This research will investigate the problem of position estimation for planetary rovers. Diverse algorithmic filters are available for collecting input data and transforming that data to useful information for the purpose of position estimation process. The terrain has sandy soil which might cause slipping of the robot, and small stones and pebbles which can affect trajectory. The Kalman Filter, a state estimation algorithm was used for fusing the sensor data to improve the position measurement of the rover. For the rover application the locomotion and errors accumulated by the rover is compens
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Zahnd, Guillaume. "Estimation du mouvement bi-dimensionnel de la paroi artérielle en imagerie ultrasonore par une approche conjointe de segmentation et de speckle tracking." Phd thesis, INSA de Lyon, 2012. http://tel.archives-ouvertes.fr/tel-00835828.

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Ce travail de thèse est axé sur le domaine du traitement d'images biomédicales. L'objectif de notre étude est l'estimation des paramètres traduisant les propriétés mécaniques de l'artère carotide in vivo en imagerie échographique, dans une optique de détection précoce de la pathologie cardiovasculaire. L'analyse du mouvement longitudinal des tissus de la paroi artérielle, i.e. dans la même direction que le flux sanguin, représente la motivation majeure de ce travail. Les trois contributions principales proposées dans ce travail sont i) le développement d'un cadre méthodologique original et sem
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MOTTA, THIAGO RIBEIRO DA. "AN EVALUATION OF 2D FILTERS FOR SPECKLE DENOISING ULTRASOUND EXAMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33354@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Exames de ultrassom são uma ferramenta popular de aquisição de imagens na medicina atual por ser um procedimento não-invasivo, seguro e barato. Entretanto, inerente a qualquer exame de ultrassom encontra-se o ruído speckle, responsável pela degradação da imagem e dificultando tanto sua interpretação por parte de médicos e pacientes, quanto prejudicando a acurácia de métodos comp
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Geling, Gary W. "Speckle noise reduction of synthetic aperture radar imagery using Kalman filters." Thesis, University of Ottawa (Canada), 1995. http://hdl.handle.net/10393/10356.

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Synthetic aperture radar (SAR) imagery is gaining increased usage as more systems become available and more applications are being developed. An "unfortunate" problem with SAR imagery is the high level of noise, often called speckle. The speckle effects reduce the utility of SAR imagery a great deal. This thesis will address the causes of speckle and many of the current methods that are used to reduce the speckle noise. Kalman filtering methods will then be adapted for use on SAR imagery taking into account the special properties of this type of filter and images.
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Tvarůžek, Marek. "Metody potlačení strukturního šumu typu spekle." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-219950.

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This diploma thesis deals with the methods of despeckling in ultrasound images. Ultrasound imaging and related artifacts are described in more details. Ultrasound imaging has its pros and cons, where speckle noise is a disadvantage to be solved. Models of origin of this specific noise are referred too. Practical part of this thesis aims on filtering speckled images by basic and advanced filtering methods as are linear filtering, median filtering, application of Frost filter, QGDCT, geometric filtering, anisotropic diffusion filtering and filtering based on wavelet transformation. Results are c
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Calmettes, Vincent. "Étude d'adoucissement de spectre pour récepteur GPS." École nationale supérieure de l'aéronautique et de l'espace (Toulouse ; 1972-2007), 2001. http://www.theses.fr/2001ESAE0016.

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Les récepteurs GPS sont soumis à de nombreux signaux d'interférence bande étroite. Cette étude concerne des techniques d'adoucissement de spectre, dites de précorrélation. Elles s'appliquent au signal complexe à l'entrée du récepteur numérique. La première partie de ce mémoire présente le récepteur optimum. Il est déduit de la théorie de la détection appliquée en présence de bruits blancs et gaussiens. L'étude met en évidence les dégradations des performances de ce récepteur, lorsqu'il est soumis à des signaux d'interférence. La deuxième partie traite de l'amélioration des performnces du récep
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Zhang, Haijian. "Filter Bank based MultiCarrier (FBMC) for Cognitive Radio Systems." Thesis, Paris, CNAM, 2010. http://www.theses.fr/2010CNAM0763/document.

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La radio cognitive (CR) est une radio entièrement reconfigurable qui permet de changer intelligemment ses paramètres de communication en réponse à l’activité des autres réseaux radios et demandes d’utilisateur. L’objectif ultime de la CR est de permettre à l’utilisateur secondaire (SU) d’utiliser la ressource de spectre disponible sans interférer sur l’utilisateur primaire (PU) en utilisant des trous de spectre. Par conséquent, la détection du PU est l’un des défis principaux dans le développement de la CR. Par rapport aux systèmes conventionnels de communication sans fil, le système CR introd
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Pokorný, Pavel. "Zpracování obrazů ultrazvukového zobrazovacího systému GE VingMed System FiVe." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220044.

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The master thesis is focused on the principle of ultrasonographs and their modes, and ways of denoising data obtained by ultrasonographs. This project will also concentrate on removing the speckle noise, because the speckle noise has the largest share of the noise in the measured data in ultrasonographs. The other main objective was to describe advanced methods of filtration, especially the modifications of the median filter, such as the modified hybrid median filter and modification of the anisotropic diffusion, namely generalizing Perona-Malik anisotropic diffusion using restricted dissimila
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Books on the topic "Speckle Filter"

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Kundert, Kenneth S. The designer's guide to SPICE and Spectre. Kluwer Academic Publishers, 1995.

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Edwards, Thomas D. Implementation of three speckle reduction filters for solid propellant combustion holograms. 1986.

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Agopian, Ana. Scenariul ca specie literara. Editura Universitara, 2022. http://dx.doi.org/10.5682/9786062813819.

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Teoreticieni de film, scriitori sau profesionisti activi in lumea filmului au scris despre posibilitatea de a privi scenariul ca forma literara. George Garrett, poet si romancier, noteaza in introducerea unui volum de scenarii: „Aceasta remarcabila colectie de scenarii ar putea foarte bine sa reprezinte o veritabila manifestare a literaturii secolului 20”. Scriitorul Sam Thomas considera ca este important sa „recunoastem si sa admitem ca scenariul pentru film, in cele mai reusite forme ale sale, poate si ar trebui sa fie considerat literatura in aceeasi masura ca un roman sau o piesa de teatru
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The designer's guide to SPICE and Spectre. Kluwer Academic Publishers, 1995.

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Blake, Quentin, Henri Robillot, Dahl Roald, and Marie Farré. Matilda (INACTIF- FOLIO JUNIOR EDITION SPECIALE. GALLIMARD JEUNE, 2001.

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Book chapters on the topic "Speckle Filter"

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Siva Kalyani, P., S. Nazeer Hussain, N. Vishnu Teja, S. Younus Hussain, and B. Amarnatha Reddy. "Speckle Based Anisotropic Diffusion Filter for Ultrasound Images." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7961-5_42.

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James Deva Koresh, H., and Shanty Chacko. "Hybrid Speckle Reduction Filter for Corneal OCT Images." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51859-2_9.

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Ramos-Llordén, G., G. Vegas-Sánchez-Ferrero, S. Aja-Fernández, M. Martín-Fernández, and C. Alberola-López. "Fast Anisotropic Speckle Filter for Ultrasound Medical Images." In IFMBE Proceedings. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00846-2_63.

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Jiang, Lihui, and Yanying Guo. "Speckle Suppressing Based on Fuzzy Generalized Morphological Filter." In Advances in Machine Learning and Cybernetics. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11739685_112.

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Riyadi, Slamet, Mohd Marzuki Mustafa, Aini Hussain, Oteh Maskon, and Ika Faizura Mohd Noh. "Quasi-Gaussian DCT Filter for Speckle Reduction of Ultrasound Images." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05036-7_14.

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Gupta, Ananya, Vikrant Bhateja, Avantika Srivastava, and Aditi Gupta. "Suppression of Speckle Noise in Ultrasound Images Using Bilateral Filter." In Information and Communication Technology for Intelligent Systems. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1742-2_72.

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Kotsiuba, Yu, V. M. Fitio, H. Petrovska, and Ya V. Bobitski. "New Effective Filter in the Spatial Domain for Speckle Noise Reduction." In Springer Proceedings in Physics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51905-6_14.

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Nair, Jyothisha J., and V. K. Govindan. "Speckle Noise Reduction Using Fourth Order Complex Diffusion Based Homomorphic Filter." In Advances in Computing and Information Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31552-7_91.

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Srivastava, Avantika, Vikrant Bhateja, Ananya Gupta, and Aditi Gupta. "Non-local Mean Filter for Suppression of Speckle Noise in Ultrasound Images." In Smart Intelligent Computing and Applications. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1927-3_23.

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Ghosh, Dipannita, Amish Kumar, Palash Ghosal, and Debashis Nandi. "Speckle Reduction of Ultrasound Image via Morphological Based Edge Preserving Weighted Mean Filter." In Advances in Communication, Devices and Networking. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3450-4_34.

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Conference papers on the topic "Speckle Filter"

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Bekhtin, Y. S., and V. T. Trinh. "Combined Speckle Removal Based on the Wiener Filter and Wavelet Transform using Texture Analysis." In 2025 7th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE). IEEE, 2025. https://doi.org/10.1109/reepe63962.2025.10970894.

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Cardoso, Fernando M., Monica M. S. Matsumoto, and Sergio S. Furuie. "Interference-based speckle filter." In SPIE Medical Imaging, edited by Jan D'hooge and Marvin M. Doyley. SPIE, 2011. http://dx.doi.org/10.1117/12.878037.

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Crimmins, Thomas R. "Geometric Filter For Reducing Speckle." In 29th Annual Technical Symposium, edited by Henri H. Arsenault. SPIE, 1985. http://dx.doi.org/10.1117/12.949543.

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Li, Zhuang, and Kun-peng Wang. "An improved SAR image speckle filter." In 2010 2nd International Conference on Advanced Computer Control. IEEE, 2010. http://dx.doi.org/10.1109/icacc.2010.5486759.

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Palubinskas, Gintautas. "Spectral speckle filter for SAR imagery." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6350530.

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Yahia, Mohamed, Tej-Albaha Hamrouni, and Riadh Abdelfattah. "SAR speckle denoising using iterative filter." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127314.

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Rye, Barry J., and R. Michael Hardesty. "Power estimator bias in filtered incoherent backscatter heterodyne lidar returns." In Coherent Laser Radar. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.thd4.

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We have considered various Kalman filters1 that can recursively filter and smooth, in an optimal way, the observations of a return that is varying in time. A basic problem for any lidar filter is estimation of return power. For coherent lidar, raw power measurements are corrupted by speckle that is characterized by high variance and asymmetrical exponential statistics. Both problems are mitigated if speckle diversity techniques are used, so data taken over a time short compared with the time scale of return power fluctuations can be preprocessed by averaging. Here we consider interfacing small
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JeongSik Kim, HyeongDo Lee, and Baeksop Kim. "Coherence adaptive speckle filter for ultrasound image." In 2007 9th International Symposium on Signal Processing and Its Applications (ISSPA). IEEE, 2007. http://dx.doi.org/10.1109/isspa.2007.4555391.

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Hamrouni, Tej-Albaha, Mohamed Yahia, and Riadh Abdelfattah. "Sar Speckle Filtering by Improved INLP Filter." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8517606.

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Minh, Nguyen Tuan, Pham Thuong Cat, and Pham Duc Long. "Real Time Speckle Filter by Cellular Neural Network." In 2009 2nd International Congress on Image and Signal Processing (CISP). IEEE, 2009. http://dx.doi.org/10.1109/cisp.2009.5303557.

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Reports on the topic "Speckle Filter"

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Adair, M., and B. Guindon. Methods for evaluating speckle-suppressing filters based on edge detection performance. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1989. http://dx.doi.org/10.4095/217604.

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