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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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LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10: 3659391530
ISBN 13: 9783659391538
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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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
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659391530
ISBN 13: 9783659391538
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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
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659391530
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
Published by
LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10: 3659391530
ISBN 13: 9783659391538
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 148 pp. Englisch. Seller Inventory # 9783659391538
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Image Denoising, Deblurring and Object Tracking: A New Generation wavelet based approach
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659391530
ISBN 13: 9783659391538
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