Wavelet Transform Based Techniques for Denoising of Medical Images: a multiresolution approach - Brossura
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Medical images are generally of poor contrast and they also get complex type of noise and blur. The noise also has variability from one condition to other. So it is very difficult to suggest a robust method for noise removal which works equally well for different modalities of medical images. During the denoising process of a noisy image, it is usually helpful to look at an image at different resolutions so that important information about both the image and the noise can emerge easily. If the chosen resolution is too coarse, fine details will not be visible. On the other hand, looking too closely at an object can cause surroundings to disappear, so the noise and the object cannot be distinguished easily. This is where wavelets can be useful. But unfortunately the present wavelet based techniques for medical image denoising are too particular and are useful in particular situations only. Here, it is important to mention that complex wavelet transform has not found its deserving place in many applications, and one of the major challenging tasks taken up in this work is to apply complex wavelet transform for denoising.
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L'autore
Ashish Khare is Assistant Professor in Computer Science at University of Allahabad, Allahabad, India. His research interest includes medical imaging, wavelet analysis, and computer vision. He has published more than 25 papers in international journals and conference proceedings. He received D.Phil. degree from University of Allahabad, India.
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Wavelet Transform Based Techniques for Denoising of Medical Images
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LAP LAMBERT Academic Publishing Okt 2010, 2010
ISBN 10: 3843362602
ISBN 13: 9783843362603
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Medical images are generally of poor contrast and they also get complex type of noise and blur. The noise also has variability from one condition to other. So it is very difficult to suggest a robust method for noise removal which works equally well for different modalities of medical images. During the denoising process of a noisy image, it is usually helpful to look at an image at different resolutions so that important information about both the image and the noise can emerge easily. If the chosen resolution is too coarse, fine details will not be visible. On the other hand, looking too closely at an object can cause surroundings to disappear, so the noise and the object cannot be distinguished easily. This is where wavelets can be useful. But unfortunately the present wavelet based techniques for medical image denoising are too particular and are useful in particular situations only. Here, it is important to mention that complex wavelet transform has not found its deserving place in many applications, and one of the major challenging tasks taken up in this work is to apply complex wavelet transform for denoising. 180 pp. Englisch. Codice articolo 9783843362603
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Wavelet Transform Based Techniques for Denoising of Medical Images
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ISBN 13: 9783843362603
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khare AshishAshish Khare is Assistant Professor in Computer Science at University of Allahabad, Allahabad, India. His research interest includes medical imaging, wavelet analysis, and computer vision. He has published more than 25 pa. Codice articolo 5466217
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Wavelet Transform Based Techniques for Denoising of Medical Images
Editore:
LAP LAMBERT Academic Publishing Okt 2010, 2010
ISBN 10: 3843362602
ISBN 13: 9783843362603
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Taschenbuch. Condizione: Neu. Neuware -Medical images are generally of poor contrast and they also get complex type of noise and blur. The noise also has variability from one condition to other. So it is very difficult to suggest a robust method for noise removal which works equally well for different modalities of medical images. During the denoising process of a noisy image, it is usually helpful to look at an image at different resolutions so that important information about both the image and the noise can emerge easily. If the chosen resolution is too coarse, fine details will not be visible. On the other hand, looking too closely at an object can cause surroundings to disappear, so the noise and the object cannot be distinguished easily. This is where wavelets can be useful. But unfortunately the present wavelet based techniques for medical image denoising are too particular and are useful in particular situations only. Here, it is important to mention that complex wavelet transform has not found its deserving place in many applications, and one of the major challenging tasks taken up in this work is to apply complex wavelet transform for denoising.Books on Demand GmbH, Überseering 33, 22297 Hamburg 180 pp. Englisch. Codice articolo 9783843362603
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Wavelet Transform Based Techniques for Denoising of Medical Images | a multiresolution approach
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843362602
ISBN 13: 9783843362603
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Taschenbuch. Condizione: Neu. Wavelet Transform Based Techniques for Denoising of Medical Images | a multiresolution approach | Ashish Khare | Taschenbuch | 180 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843362603 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 107251207
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Wavelet Transform Based Techniques for Denoising of Medical Images : a multiresolution approach
Editore:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843362602
ISBN 13: 9783843362603
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Medical images are generally of poor contrast and they also get complex type of noise and blur. The noise also has variability from one condition to other. So it is very difficult to suggest a robust method for noise removal which works equally well for different modalities of medical images. During the denoising process of a noisy image, it is usually helpful to look at an image at different resolutions so that important information about both the image and the noise can emerge easily. If the chosen resolution is too coarse, fine details will not be visible. On the other hand, looking too closely at an object can cause surroundings to disappear, so the noise and the object cannot be distinguished easily. This is where wavelets can be useful. But unfortunately the present wavelet based techniques for medical image denoising are too particular and are useful in particular situations only. Here, it is important to mention that complex wavelet transform has not found its deserving place in many applications, and one of the major challenging tasks taken up in this work is to apply complex wavelet transform for denoising. Codice articolo 9783843362603
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Wavelet Transform Based Techniques for Denoising of Medical Images: a multiresolution approach
Editore:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843362602
ISBN 13: 9783843362603
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA75838433626026
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