Performance Analysis of Spatial and Transform Filters for Efficient Image Noise Reduction
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SAR Image Despeckling Based on Convolutional Denoising Autoencoder
SAR Image Despeckling Based on Convolutional Denoising Autoencoder Zhang Qianqian1 Sun Ruizhi2,* PhD student, Professor, College of Information and Electrical Engineering, College of Information and Electrical Engineering, China Agricultural University China Agricultural University Beijing, P.R. China Beijing, P.R. China e-mail: [email protected] *Corresponding author: e-mail: [email protected] Abstract—In Synthetic Aperture Radar (SAR) imaging, availability of noise in the SAR images has obvious influence despeckling is very important for image analysis,whereas speckle that complicates the obtaining and analysis process timely[1], is known as a kind of multiplicative noise caused by the coherent as results depend strongly on the implementation of imaging system. During the past three decades, various subsequent tasks (object detection, classification, segmentation, algorithms have been proposed to denoise the SAR image. and so on). Also, the denoising process is disturbing the Generally, the BM3D is considered as the state of art technique quality of the original images which may lead to poor to despeckle the speckle noise with excellent performance. More decisions either by humans or machines. Therefore, the goal of recently, deep learning make a success in image denoising and noise removal or reduction in the SAR image should take achieved a improvement over conventional method where large accuracy into high consideration as much as possible. train dataset is required. Unlike most of the images SAR image despeckling approach, the proposed approach learns the speckle SAR image despeckling, conventional problem in the field from corrupted images directly. In this paper, the limited scale of computer vision, has been extensively studied by of dataset make a efficient exploration by using convolutioal researchers. -
Survey of Noise in Image and Efficient Technique for Noise Reduction
International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2015): 78.96 | Impact Factor (2015): 6.391 Survey of Noise in Image and Efficient Technique for Noise Reduction Arti Singh1, Madhu2 1, 2Research Scholar, Computer Science, BBAU University, Lucknow , Uttar Pradesh, India Abstract: Removing noise from the image is big challenge for researcher because removal of noise in image causes the artifacts and image blurring. Noise occurred in image during the time of capturing and transmission of the image. There are many methods for noise removal from the images. Many algorithms and techniques are available for removing noise from image, but each method exist their own assumptions, merits and demerits. Noise reduction algorithms for remove noise is totally depends on what type of noise occur in the image. In this paper, focus on some important type of noise and noise removal techniques is done. Keywords: Impulse noise, Gaussian noise , Speckle noise ,Poisson noise, mean filter, median filter ,etc 1. Introduction or over heated faulty component can cause noise arise in image because of sharp and sudden changes of Digital image processing is using of algorithms for image signal. 퐼 푖, 푗 푥 < 푙 improve quality order of digital image .This error on 퐼푠푝 푖, 푗 = image is called noise in image which do not reflect real 퐼푚푖푛 + 푌 퐼푚푎푥 −퐼푚푖푛 푥 > 푙 intensities of actual scene. There are two problems found x,y∈[0,1] are two uniformly distributed random variables in image processing: Blurring and image noise. Noise image occurred by many reasons: When we capture image from camera (scratches are available in camera). -
Nasa Tm- 77750 Nasa Technical Memorandum Nasa Tm-77750
NASA TM- 77750 NASA TECHNICAL MEMORANDUM NASA TM-77750 NASA-TM-77750 19850004171 PATTERNS OF BEHAVIOD<TN LODGINGS EXPOSED TO TRAFFIC NOISE Jacques Lambert, Francois Simonnet Translation of "Comportements dans l'habitat soumis au bruit de circulation". Institut de Recherche des Transports, Arcueil, France, Rapport de Recherche I.R.T. No. 47, September, 1980, pp 1-145. 11.,. NATIONAL AERONAUTICS AND SPACE ADMINISTRATION WASHINGTON D.C. 20546 NOVEMBER 1984 • • \ IT........ f.n.• PM. ,. II. 0 ... I. .M.,...·.c.......... NAS1\. TM.,-77750 .. , ...... S....... PATTERNS or' BEHAVIOR IN I. • .,.,. hie November, 1984 TF~FFIC LODGINGS EXPOSED TO NOISE • •. ,.,te-t". 0, ee. 70 A.......c.. I. ''''e''''. 0. H.. Jacques Lambert, Francois Simonnet 11...... "-'..... '. 1-------------------------1... e.......... 0......... t. ' .......... 0,.......'... N... et4 ........ MAS... .~C; 42 SCITRAN • lox S4S6 .' II. ,,,..,......., ...c.....4 r.__ • a _..,.... ClI·un. 'rraul.t1oll, 12. SU4t1~&:r"&;rD_==_ .. Sp.at MaiIliat~.t.io.....-----------..f VUD1qtOD. D~Ce ~0546 No Ate-f c... I'" ...........,.......Translatlon. .. of "COITInortements dans l'habltat. soumis au bruit de circulation".'" Institut de·Recherche des Transports, Arcuei1, France, Rapport de Recherche' I ~R •. ~.· No. 47, September, 1980, pp. 1-145. , .. M ......· Thresho1c values at which public services should intervene ~o attenuate the noise nuisance are defined. Observations were made in the field of daily life at .. home. Data was collecte<J. on the use of loe1gings, on effects of noise on health and sleep~ and on the incidence of running away from home. A correlation was made also with the equipment. and noise insulation of lodgings. The results s.how that abov.eGG dB in daytime, there are behavior patterns that are extreme so far as they modify in a considerable manner the way bf, life of-people, living in both collective housing Capartments) and in individual houses • • ~. -
Noise Assessment Activities
Noise assessment activities Interesting stories in Europe ETC/ACM Technical Paper 2015/6 April 2016 Gabriela Sousa Santos, Núria Blanes, Peter de Smet, Cristina Guerreiro, Colin Nugent The European Topic Centre on Air Pollution and Climate Change Mitigation (ETC/ACM) is a consortium of European institutes under contract of the European Environment Agency RIVM Aether CHMI CSIC EMISIA INERIS NILU ÖKO-Institut ÖKO-Recherche PBL UAB UBA-V VITO 4Sfera Front page picture: Composite that includes: photo of a street in Berlin redesigned with markings on the asphalt (from SSU, 2014); view of a noise barrier in Alverna (The Netherlands)(from http://www.eea.europa.eu/highlights/cutting-noise-with-quiet-asphalt), a page of the website http://rumeur.bruitparif.fr for informing the public about environmental noise in the region of Paris. Author affiliation: Gabriela Sousa Santos, Cristina Guerreiro, Norwegian Institute for Air Research, NILU, NO Núria Blanes, Universitat Autònoma de Barcelona, UAB, ES Peter de Smet, National Institute for Public Health and the Environment, RIVM, NL Colin Nugent, European Environment Agency, EEA, DK DISCLAIMER This ETC/ACM Technical Paper has not been subjected to European Environment Agency (EEA) member country review. It does not represent the formal views of the EEA. © ETC/ACM, 2016. ETC/ACM Technical Paper 2015/6 European Topic Centre on Air Pollution and Climate Change Mitigation PO Box 1 3720 BA Bilthoven The Netherlands Phone +31 30 2748562 Fax +31 30 2744433 Email [email protected] Website http://acm.eionet.europa.eu/ 2 ETC/ACM Technical Paper 2015/6 Contents 1 Introduction ...................................................................................................... 5 2 Noise Action Plans ......................................................................................... -
22Nd International Congress on Acoustics ICA 2016
Page intentionaly left blank 22nd International Congress on Acoustics ICA 2016 PROCEEDINGS Editors: Federico Miyara Ernesto Accolti Vivian Pasch Nilda Vechiatti X Congreso Iberoamericano de Acústica XIV Congreso Argentino de Acústica XXVI Encontro da Sociedade Brasileira de Acústica 22nd International Congress on Acoustics ICA 2016 : Proceedings / Federico Miyara ... [et al.] ; compilado por Federico Miyara ; Ernesto Accolti. - 1a ed . - Gonnet : Asociación de Acústicos Argentinos, 2016. Libro digital, PDF Archivo Digital: descarga y online ISBN 978-987-24713-6-1 1. Acústica. 2. Acústica Arquitectónica. 3. Electroacústica. I. Miyara, Federico II. Miyara, Federico, comp. III. Accolti, Ernesto, comp. CDD 690.22 ISBN 978-987-24713-6-1 © Asociación de Acústicos Argentinos Hecho el depósito que marca la ley 11.723 Disclaimer: The material, information, results, opinions, and/or views in this publication, as well as the claim for authorship and originality, are the sole responsibility of the respective author(s) of each paper, not the International Commission for Acoustics, the Federación Iberoamaricana de Acústica, the Asociación de Acústicos Argentinos or any of their employees, members, authorities, or editors. Except for the cases in which it is expressly stated, the papers have not been subject to peer review. The editors have attempted to accomplish a uniform presentation for all papers and the authors have been given the opportunity to correct detected formatting non-compliances Hecho en Argentina Made in Argentina Asociación de Acústicos Argentinos, AdAA Camino Centenario y 5006, Gonnet, Buenos Aires, Argentina http://www.adaa.org.ar Proceedings of the 22th International Congress on Acoustics ICA 2016 5-9 September 2016 Catholic University of Argentina, Buenos Aires, Argentina ICA 2016 has been organised by the Ibero-american Federation of Acoustics (FIA) and the Argentinian Acousticians Association (AdAA) on behalf of the International Commission for Acoustics. -
Analysis of Image Noise in Multispectral Color Acquisition
ANALYSIS OF IMAGE NOISE IN MULTISPECTRAL COLOR ACQUISITION Peter D. Burns Submitted to the Center for Imaging Science in partial fulfillment of the requirements for Ph.D. degree at the Rochester Institute of Technology May 1997 The design of a system for multispectral image capture will be influenced by the imaging application, such as image archiving, vision research, illuminant modification or improved (trichromatic) color reproduction. A key aspect of the system performance is the effect of noise, or error, when acquiring multiple color image records and processing of the data. This research provides an analysis that allows the prediction of the image-noise characteristics of systems for the capture of multispectral images. The effects of both detector noise and image processing quantization on the color information are considered, as is the correlation between the errors in the component signals. The above multivariate error-propagation analysis is then applied to an actual prototype system. Sources of image noise in both digital camera and image processing are related to colorimetric errors. Recommendations for detector characteristics and image processing for future systems are then discussed. Indexing terms: color image capture, color image processing, image noise, error propagation, multispectral imaging. Electronic Distribution Edition 2001. ©Peter D. Burns 1997, 2001 All rights reserved. COPYRIGHT NOTICE P. D. Burns, ‘Analysis of Image Noise in Multispectral Color Acquisition’, Ph.D. Dissertation, Rochester Institute of Technology, 1997. Copyright © Peter D. Burns 1997, 2001 Published by the author All rights reserved. No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form, or by any means, electronic, mechanical, photocopying, recording or otherwise, without prior written permission of the copyright holder. -
Fusion of Median and Bilateral Filtering for Range Image Upsampling
FusionThis article has been of accepted Median for publication andin a future Bilateralissue of this journal, Filteringbut has not been fully foredited. Content Range may change prior to final publication. Image Upsampling Qingxiong Yang, Member, IEEE, Narendra Ahuja, Fellow, IEEE, Ruigang Yang, Member, IEEE, Kar-Han Tan, Senior Member, IEEE, James Davis, Member, IEEE, Bruce Culbertson, Member, IEEE, John Apostolopoulos, Fellow, IEEE, Gang Wang, Member, IEEE, Abstract— We present a new upsampling method to We presented in [54] a framework to enhance the spatial enhance the spatial resolution of depth images. Given a resolution of depth images (e.g., those from the Canesta sensor low-resolution depth image from an active depth sensor [2]). This approach takes advantage of the fact that a registered and a potentially high-resolution color image from a high-quality texture image can provide significant information passive RGB camera, we formulate it as an adaptive cost to enhance the raw depth image. The depth upsampling prob- aggregation problem and solve it using the bilateral filter. lem is formulated in an adaptive cost aggregation framework. The formulation synergistically combines the median filter A cost volume1 measuring the distance between the possible and the bilateral filter; thus it better preserves the depth depth candidates and the depth values bilinearly upsampled edges and is more robust to noise. Numerical and visual from those captured by the active depth sensor is computed. evaluations on a total of 37 Middlebury data sets demon- The joint bilateral filter is then applied to the cost volume to strate the effectiveness of our method. -
Local Noise Action Plans
Practitioner Handbook for Local Noise Action Plans Recommendations from the SILENCE project SILENCE is an Integrated Project co-funded by the European Commission under the Sixth Framework Programme for R&D, Priority 6 Sustainable Development, Global Change and Ecosystems Guidance for readers Step 1: Getting started – responsibilities and competences • These pages give an overview on the steps of action planning and Objective To defi ne a leader with suffi cient capacities and competences to the noise abatement measures and are especially interesting for successfully setting up a local noise action plan. To involve all relevant stakeholders and make them contribute to the implementation of the plan clear competences with the leading department are needed. The END ... DECISION MAKERS and TRANSPORT PLANNERS. Content Requirements of the END and any other national or The current responsibilities for noise abatement within the local regional legislation regarding authorities will be considered and it will be assessed whether these noise abatement should be institutional settings are well fi tted for the complex task of noise considered from the very action planning. It might be advisable to attribute the leadership to beginning! another department or even to create a new organisation. The organisational settings for steering and carrying out the work to be done will be decided. The fi nancial situation will be clarifi ed. A work plan will be set up. If support from external experts is needed, it will be determined in this stage. To keep in mind For many departments, noise action planning will be an additional task. It is necessary to convince them of the benefi ts and the synergies with other policy fi elds and to include persons in the steering and working group that are willing and able to promote the issue within their departments. -
Noise Reduction Using Enhanced Bilateral Filter
影像與識別 2006, Vol.12 No.4 Noise Reduction Using Enhanced Bilatera… Noise Reduction Using Enhanced Bilateral Filter Yen-Lan Huang, Chiou-Shann Fuh Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, 10617, R.O.C [email protected] Abstract. Noise reduction is an important block in the image pipeline. Noticing noise in an image is unpleasant. A good noise reduction method can reduce the noise level and preserve the detail of the image. In this paper, we introduce some basic noise types and traditional noise reduction methods. Then we create photometric functions and geometric functions based on the concept of the bilateral filter. We use experiments to show our proposed methods are more robust to salt-and- pepper noise. Besides, we show that our methods take less time compared with Gaussian bilateral filter. 1. Introduction 1.1 Motivation In order to get a clean and sharp image, noise reduction is the main issue in image pipeline. Many filters were used to reduce noises but also blur the whole image because image details and noises are difficult to distinguish by computer. Filtering is the most popular method to reduce noise. In the spatial domain, filtering depends on location and its neighbors. In the frequency domain, filtering multiplies the whole image and the mask. Some filters operate in spatial domain, some filters are mathematically derived from frequency domain to spatial domain, other filters are designed for special noise, combination of two or more filters, or derivation from other filters. C. Tomasi and R. Manduchi introduce a noise reduction filtering method called bilateral filtering [5]. -
Measurement of Noise and Resolution in PET 1071 Large ROI in a Single Static Image
IOP PUBLISHING PHYSICS IN MEDICINE AND BIOLOGY Phys. Med. Biol. 55 (2010) 1069–1081 doi:10.1088/0031-9155/55/4/011 Simultaneous measurement of noise and spatial resolution in PET phantom images Martin A Lodge1, Arman Rahmim1 and Richard L Wahl1,2 1 Division of Nuclear Medicine, The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA 2 Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Johns Hopkins University School of Medicine, Baltimore, MD, USA E-mail: [email protected] Received 31 August 2009, in final form 21 December 2009 Published 28 January 2010 Online at stacks.iop.org/PMB/55/1069 Abstract As an aid to evaluating image reconstruction and correction algorithms in positron emission tomography, a phantom procedure has been developed that simultaneously measures image noise and spatial resolution. A commercially available 68Ge cylinder phantom (20 cm diameter) was positioned in the center of the field-of-view and two identical emission scans were sequentially performed. Image noise was measured by determining the difference between corresponding pixels in the two images and by calculating the standard deviation of these difference data. Spatial resolution was analyzed using a Fourier technique to measure the extent of the blurring at the edge of the phantom images. This paper addresses the noise aspects of the technique as the spatial resolution measurement has been described elsewhere. The noise measurement was validated by comparison with data obtained from multiple replicate images over a range of noise levels. In addition, we illustrate how simultaneous measurement of noise and resolution can be used to evaluate two different corrections for random coincidence events: delayed event subtraction and singles-based randoms correction. -
TEPRSCC 2020 Curriculum Vitae Cynthia Mccollough
Curriculum Vitae and Bibliography Cynthia H McCollough, PhD Personal Information Work Address: Mayo Clinic Rochester 200 First St SW Rochester, MN 55905-0001 507-284-6875 Present Academic Rank and Position Consultant - Department of Radiology, Mayo Clinic, Rochester, Minnesota 03/1994 - Present Full Faculty Privileges in Biomedical Engineering & Physiology - Mayo Clinic 03/2007 - Present Graduate School of Biomedical Sciences, Mayo Clinic College of Medicine and Science Professor of Medical Physics - Mayo Clinic College of Medicine and Science 10/2008 - Present Professor of Biomedical Engineering - Mayo Clinic College of Medicine and 12/2011 - Present Science Career Scientist - Department of Radiology, Mayo Clinic, Rochester, Minnesota 01/2013 - Present Education Hope College - BS, Physics 1985 University of Wisconsin, Madison - MS, Medical Physics 1986 University of Wisconsin, Madison - PhD, Medical Physics 1991 Certification Board Certifications American Board of Radiology (ABR) Diagnostic Radiological Physics 1995 - Present Honors and Awards Ralph J. Eggleston Memorial Scholarship - Lake Shore High School, St. Clair 06/1981 Shores, Michigan Scholarship - American Business Women's Association 06/1981 - 05/1985 State of Michigan Competitive Scholarship - State of Michigan 06/1981 Bertelle-Arkell-Barbour Scholarship - Hope College, Holland, Michigan 08/1981 - 05/1985 Dean's List - Hope College, Holland, Michigan 08/1981 - 05/1985 Presidential Scholar - Hope College, Holland, Michigan 08/1981 - 05/1985 Member - Sigma Pi Sigma (Physics -
PROCEEDINGS of the ICA CONGRESS (Onl the ICA PROCEEDINGS OF
ine) - ISSN 2415-1599 ISSN ine) - PROCEEDINGS OF THE ICA CONGRESS (onl THE ICA PROCEEDINGS OF Page intentionaly left blank 22nd International Congress on Acoustics ICA 2016 PROCEEDINGS Editors: Federico Miyara Ernesto Accolti Vivian Pasch Nilda Vechiatti X Congreso Iberoamericano de Acústica XIV Congreso Argentino de Acústica XXVI Encontro da Sociedade Brasileira de Acústica 22nd International Congress on Acoustics ICA 2016 : Proceedings / Federico Miyara ... [et al.] ; compilado por Federico Miyara ; Ernesto Accolti. - 1a ed . - Gonnet : Asociación de Acústicos Argentinos, 2016. Libro digital, PDF Archivo Digital: descarga y online ISBN 978-987-24713-6-1 1. Acústica. 2. Acústica Arquitectónica. 3. Electroacústica. I. Miyara, Federico II. Miyara, Federico, comp. III. Accolti, Ernesto, comp. CDD 690.22 ISSN 2415-1599 ISBN 978-987-24713-6-1 © Asociación de Acústicos Argentinos Hecho el depósito que marca la ley 11.723 Disclaimer: The material, information, results, opinions, and/or views in this publication, as well as the claim for authorship and originality, are the sole responsibility of the respective author(s) of each paper, not the International Commission for Acoustics, the Federación Iberoamaricana de Acústica, the Asociación de Acústicos Argentinos or any of their employees, members, authorities, or editors. Except for the cases in which it is expressly stated, the papers have not been subject to peer review. The editors have attempted to accomplish a uniform presentation for all papers and the authors have been given the opportunity