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Synopsis
Measurement of image quality is necessary for many image processing applications. In general image quality assessment (IQA) is based on the differences or similarity between a degraded image and the original, unmodified image.There are two ways to measure image quality by subjective or objective assessment. Subjective evaluations are expensive and time-consuming. So it is impossible to implement them into automatic real-life systems. So there is need of objective evaluations which are automatic and mathematical defined algorithms. In this book various types of objective measure in respect to image processing have studied. Main purpose is to highlight the application of these measures in the various fields of digital image processing like, image enhancement, image compression, image denoising. Moreover, grouping of quality measures have done depending on image characteristics like pixel, edge, spatial-frequency domain which are based on statistical attributes. Ultimately image quality measures are the best tool for analysis of any image processing algorithms.
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Beauty of Quality Measure:Image processing Approach
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LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10: 620253169X
ISBN 13: 9786202531696
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Measurement of image quality is necessary for many image processing applications. In general image quality assessment (IQA) is based on the differences or similarity between a degraded image and the original, unmodified image.There are two ways to measure image quality by subjective or objective assessment. Subjective evaluations are expensive and time-consuming. So it is impossible to implement them into automatic real-life systems. So there is need of objective evaluations which are automatic and mathematical defined algorithms. In this book various types of objective measure in respect to image processing have studied. Main purpose is to highlight the application of these measures in the various fields of digital image processing like, image enhancement, image compression, image denoising. Moreover, grouping of quality measures have done depending on image characteristics like pixel, edge, spatial-frequency domain which are based on statistical attributes. Ultimately image quality measures are the best tool for analysis of any image processing algorithms. 72 pp. Englisch. Seller Inventory # 9786202531696
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Beauty of Quality Measure:Image processing Approach
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LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620253169X
ISBN 13: 9786202531696
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Measurement of image quality is necessary for many image processing applications. In general image quality assessment (IQA) is based on the differences or similarity between a degraded image and the original, unmodified image.There are two ways to measure image quality by subjective or objective assessment. Subjective evaluations are expensive and time-consuming. So it is impossible to implement them into automatic real-life systems. So there is need of objective evaluations which are automatic and mathematical defined algorithms. In this book various types of objective measure in respect to image processing have studied. Main purpose is to highlight the application of these measures in the various fields of digital image processing like, image enhancement, image compression, image denoising. Moreover, grouping of quality measures have done depending on image characteristics like pixel, edge, spatial-frequency domain which are based on statistical attributes. Ultimately image quality measures are the best tool for analysis of any image processing algorithms. Seller Inventory # 9786202531696
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Beauty of Quality Measure:Image processing Approach
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ISBN 10: 620253169X
ISBN 13: 9786202531696
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gulame MayureshMr. Gulame M.B. awarded ME degree from SPPU in 2013. And pursuing PhD from G.H. Raisoni college Pune. He is working as assistant professor in Trinity academy of Engineering Pune. He has having 8 yrs of teaching Experie. Seller Inventory # 385946814
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Beauty of Quality Measure:Image processing Approach
Published by
LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10: 620253169X
ISBN 13: 9786202531696
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Measurement of image quality is necessary for many image processing applications. In general image quality assessment (IQA) is based on the differences or similarity between a degraded image and the original, unmodified image.There are two ways to measure image quality by subjective or objective assessment. Subjective evaluations are expensive and time-consuming. So it is impossible to implement them into automatic real-life systems. So there is need of objective evaluations which are automatic and mathematical defined algorithms. In this book various types of objective measure in respect to image processing have studied. Main purpose is to highlight the application of these measures in the various fields of digital image processing like, image enhancement, image compression, image denoising. Moreover, grouping of quality measures have done depending on image characteristics like pixel, edge, spatial-frequency domain which are based on statistical attributes. Ultimately image quality measures are the best tool for analysis of any image processing algorithms.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Seller Inventory # 9786202531696
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Beauty of Quality Measure:Image processing Approach
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ISBN 13: 9786202531696
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Taschenbuch. Condition: Neu. Beauty of Quality Measure:Image processing Approach | Mayuresh Gulame (u. a.) | Taschenbuch | 72 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202531696 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 118719986
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