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Image Denoising, Deblurring and Object Tracking: A New Generation wavelet based approach - Softcover
Synopsis
Noise reduction is an important step for development of any sophisticated algorithms in computer vision and image processing. A tradeoff between the removed noise and the blur in the image always exists. The capability of the wavelets to give detail spatial-frequency information is the main reason for the use of wavelets. This property promises a possibility for better discrimination between the noise and the real data. Successful exploitation of the wavelet transform might reduce the blurring effect or even overcome it completely. Object tracking is a problem of estimating the positions and other relevant information of moving objects in the sequences of image video. The main difficulties in reliable tracking of moving objects include: rapid appearance changes caused by image noise and interaction between multiple objects. In a long sequence of image video, if the dynamics of the moving object is known, prediction can be made about the positions of the object in a particular frame. This information can be combined with the actual image observation to achieve more robust results. We have explored a possibility to use wavelet transform for object tracking.
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About the Author
B.Eng. - HoChiMinh City University of Technology, Vietnam. M.Sc. and Ph.D. - University of Allahabad, India. Lecturer at Faculty of Computer Science and Engineering, HoChiMinhCity University of Technology- Vietnam. Reserach interests - Recognition, Image Processing, Multimedia Information Systems, Decision Support System, Time Series Data.
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Image Denoising, Deblurring and Object Tracking
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Noise reduction is an important step for development of any sophisticated algorithms in computer vision and image processing. A tradeoff between the removed noise and the blur in the image always exists. The capability of the wavelets to give detail spatial-frequency information is the main reason for the use of wavelets. This property promises a possibility for better discrimination between the noise and the real data. Successful exploitation of the wavelet transform might reduce the blurring effect or even overcome it completely. Object tracking is a problem of estimating the positions and other relevant information of moving objects in the sequences of image video. The main difficulties in reliable tracking of moving objects include: rapid appearance changes caused by image noise and interaction between multiple objects. In a long sequence of image video, if the dynamics of the moving object is known, prediction can be made about the positions of the object in a particular frame. This information can be combined with the actual image observation to achieve more robust results. We have explored a possibility to use wavelet transform for object tracking. 148 pp. Englisch. Seller Inventory # 9783659391538
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Image Denoising, Deblurring and Object Tracking : A New Generation wavelet based approach
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ISBN 13: 9783659391538
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Noise reduction is an important step for development of any sophisticated algorithms in computer vision and image processing. A tradeoff between the removed noise and the blur in the image always exists. The capability of the wavelets to give detail spatial-frequency information is the main reason for the use of wavelets. This property promises a possibility for better discrimination between the noise and the real data. Successful exploitation of the wavelet transform might reduce the blurring effect or even overcome it completely. Object tracking is a problem of estimating the positions and other relevant information of moving objects in the sequences of image video. The main difficulties in reliable tracking of moving objects include: rapid appearance changes caused by image noise and interaction between multiple objects. In a long sequence of image video, if the dynamics of the moving object is known, prediction can be made about the positions of the object in a particular frame. This information can be combined with the actual image observation to achieve more robust results. We have explored a possibility to use wavelet transform for object tracking. Seller Inventory # 9783659391538
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Image Denoising, Deblurring and Object Tracking
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Binh Nguyen ThanhB.Eng. - HoChiMinh City University of Technology, Vietnam. M.Sc. and Ph.D. - University of Allahabad, India. Lecturer at Faculty of Computer Science and Engineering, HoChiMinhCity University of Technology- Vietnam. R. Seller Inventory # 5153156
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Image Denoising, Deblurring and Object Tracking: A New Generation wavelet based approach
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Image Denoising, Deblurring and Object Tracking
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Noise reduction is an important step for development of any sophisticated algorithms in computer vision and image processing. A tradeoff between the removed noise and the blur in the image always exists. The capability of the wavelets to give detail spatial-frequency information is the main reason for the use of wavelets. This property promises a possibility for better discrimination between the noise and the real data. Successful exploitation of the wavelet transform might reduce the blurring effect or even overcome it completely. Object tracking is a problem of estimating the positions and other relevant information of moving objects in the sequences of image video. The main difficulties in reliable tracking of moving objects include: rapid appearance changes caused by image noise and interaction between multiple objects. In a long sequence of image video, if the dynamics of the moving object is known, prediction can be made about the positions of the object in a particular frame. This information can be combined with the actual image observation to achieve more robust results. We have explored a possibility to use wavelet transform for object tracking.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 148 pp. Englisch. Seller Inventory # 9783659391538
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Image Denoising, Deblurring and Object Tracking | A New Generation wavelet based approach
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Taschenbuch. Condition: Neu. Image Denoising, Deblurring and Object Tracking | A New Generation wavelet based approach | Nguyen Thanh Binh (u. a.) | Taschenbuch | 148 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659391538 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 105931816
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