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Contextual Compression of Ultrasound Medical Images: Comparative Analysis of Various Image Compression Techniques - Softcover
Medical image compression addresses the issues of larger storage and faster transmission requirements. Contextual compression of Ultrasound (US) medical images aims at compressing the diagnostically important region, region of interest (RoI), of an image with supreme quality as compared to rather unimportant area i.e. the background. Thus, the RoI area is compressed with less compression ratio and the background with the highest possible compression ratio in order to get better overall compression performance. As a part of contextual compression technique four compression algorithms viz. JPEG coding, Wavelet Transform coding, JPEG 2000 coding and the SPIHT coding algorithms have been implemented in the present work. These algorithms have been implemented using MATLAB, Image Processing and Wavelet toolbox, in particular. A detailed analysis on the basis of parameters like mean square error (MSE), peak signal to noise ratio (PSNR) and correlation coefficient (CoC) has been carried out to evaluate these algorithms.
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Prof. Rahul K. Kher is with the EC department of G H Patel college of Engg. & Tech, Vallabh Vidyanagar, India as an Associate Professor. He received his B.E. (Electronics) degree from Sardar Patel University in 1997 and M. Tech degree from IIT, Roorkee in 2006. Currently he is pursuing Ph. D. in ECG Signal Processing from Sardar Patel University.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2011
- ISBN 10 3846504386
- ISBN 13 9783846504383
- BindingPaperback
- Number of pages104
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Contextual Compression of Ultrasound Medical Images: Comparative Analysis of Various Image Compression Techniques
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Medical image compression addresses the issues of larger storage and faster transmission requirements. Contextual compression of Ultrasound (US) medical images aims at compressing the diagnostically important region, region of interest (RoI), of an image with supreme quality as compared to rather unimportant area i.e. the background. Thus, the RoI area is compressed with less compression ratio and the background with the highest possible compression ratio in order to get better overall compression performance. As a part of contextual compression technique four compression algorithms viz. JPEG coding, Wavelet Transform coding, JPEG 2000 coding and the SPIHT coding algorithms have been implemented in the present work. These algorithms have been implemented using MATLAB, Image Processing and Wavelet toolbox, in particular. A detailed analysis on the basis of parameters like mean square error (MSE), peak signal to noise ratio (PSNR) and correlation coefficient (CoC) has been carried out to evaluate these algorithms. 104 pp. Englisch. Seller Inventory # 9783846504383
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Contextual Compression of Ultrasound Medical Images Comparative Analysis of Various Image Compression Techniques
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Contextual Compression of Ultrasound Medical Images : Comparative Analysis of Various Image Compression Techniques
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Medical image compression addresses the issues of larger storage and faster transmission requirements. Contextual compression of Ultrasound (US) medical images aims at compressing the diagnostically important region, region of interest (RoI), of an image with supreme quality as compared to rather unimportant area i.e. the background. Thus, the RoI area is compressed with less compression ratio and the background with the highest possible compression ratio in order to get better overall compression performance. As a part of contextual compression technique four compression algorithms viz. JPEG coding, Wavelet Transform coding, JPEG 2000 coding and the SPIHT coding algorithms have been implemented in the present work. These algorithms have been implemented using MATLAB, Image Processing and Wavelet toolbox, in particular. A detailed analysis on the basis of parameters like mean square error (MSE), peak signal to noise ratio (PSNR) and correlation coefficient (CoC) has been carried out to evaluate these algorithms. Seller Inventory # 9783846504383
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Contextual Compression of Ultrasound Medical Images Comparative Analysis of Various Image Compression Techniques
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kher RahulProf. Rahul K. Kher is with the EC department of G H Patel college of Engg. & Tech, Vallabh Vidyanagar, India as an Associate Professor. He received his B.E. (Electronics) degree from Sardar Patel University in 1997 and M. . Seller Inventory # 5495191
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