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Optimizing Tone Mapped Image Quality Index and Enhance Image Quality with Iterative Algorithm - Softcover
Inhaltsangabe
This book focuses on Tone-mapping operators (TMOs) that convert high dynamic range (HDR) to low dynamic range (LDR) images provide practically useful tools for the visualization of HDR images on standard LDR displays. Different TMOs create different tone-mapped images, and a natural question is which one has the best quality. Without an appropriate quality measure, different TMOs cannot be compared, and further improvement is directionless. Subjective rating may be a reliable evaluation method, but it is expensive and time consuming, and more importantly, is difficult to be embedded into optimization frameworks. Here we propose an objective quality assessment algorithm for tone-mapped images by combining: 1) a multiscale signal fidelity measure on the basis of a modified structural similarity index and 2) a naturalness measure on the basis of intensity statistics of natural images. Validations using independent subject-rated image databases show good correlations between subjective ranking score and the proposed tone-mapped image quality index (TMQI).
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Über die Autorin bzw. den Autor
Shabanam Tamboli received her Master's degree in electronic engineering from Shivaji University, Maharaashtra. She registered for Ph.D. degrees at VTU, Belgaum, in Electronics & Communication engineering. She has teaching experience of 15 years. She has published more than 20 technical papers. Her field of interest is Signal and Image processing.
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Optimizing Tone Mapped Image Quality Index and Enhance Image Quality with Iterative Algorithm
Verlag:
LAP LAMBERT Academic Publishing Mrz 2018, 2018
ISBN 10: 3330046570
ISBN 13: 9783330046573
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on Tone-mapping operators (TMOs) that convert high dynamic range (HDR) to low dynamic range (LDR) images provide practically useful tools for the visualization of HDR images on standard LDR displays. Different TMOs create different tone-mapped images, and a natural question is which one has the best quality. Without an appropriate quality measure, different TMOs cannot be compared, and further improvement is directionless. Subjective rating may be a reliable evaluation method, but it is expensive and time consuming, and more importantly, is difficult to be embedded into optimization frameworks. Here we propose an objective quality assessment algorithm for tone-mapped images by combining: 1) a multiscale signal fidelity measure on the basis of a modified structural similarity index and 2) a naturalness measure on the basis of intensity statistics of natural images. Validations using independent subject-rated image databases show good correlations between subjective ranking score and the proposed tone-mapped image quality index (TMQI). 56 pp. Englisch. Bestandsnummer des Verkäufers 9783330046573
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Optimizing Tone Mapped Image Quality Index and Enhance Image Quality with Iterative Algorithm
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Optimizing Tone Mapped Image Quality Index and Enhance Image Quality with Iterative Algorithm
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Optimizing Tone Mapped Image Quality Index and Enhance Image Quality with Iterative Algorithm
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ISBN 13: 9783330046573
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Optimizing Tone Mapped Image Quality Index and Enhance Image Quality with Iterative Algorithm
Verlag:
LAP LAMBERT Academic Publishing Mär 2018, 2018
ISBN 10: 3330046570
ISBN 13: 9783330046573
Neu
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book focuses on Tone-mapping operators (TMOs) that convert high dynamic range (HDR) to low dynamic range (LDR) images provide practically useful tools for the visualization of HDR images on standard LDR displays. Different TMOs create different tone-mapped images, and a natural question is which one has the best quality. Without an appropriate quality measure, different TMOs cannot be compared, and further improvement is directionless. Subjective rating may be a reliable evaluation method, but it is expensive and time consuming, and more importantly, is difficult to be embedded into optimization frameworks. Here we propose an objective quality assessment algorithm for tone-mapped images by combining: 1) a multiscale signal fidelity measure on the basis of a modified structural similarity index and 2) a naturalness measure on the basis of intensity statistics of natural images. Validations using independent subject-rated image databases show good correlations between subjective ranking score and the proposed tone-mapped image quality index (TMQI).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Bestandsnummer des Verkäufers 9783330046573
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book focuses on Tone-mapping operators (TMOs) that convert high dynamic range (HDR) to low dynamic range (LDR) images provide practically useful tools for the visualization of HDR images on standard LDR displays. Different TMOs create different tone-mapped images, and a natural question is which one has the best quality. Without an appropriate quality measure, different TMOs cannot be compared, and further improvement is directionless. Subjective rating may be a reliable evaluation method, but it is expensive and time consuming, and more importantly, is difficult to be embedded into optimization frameworks. Here we propose an objective quality assessment algorithm for tone-mapped images by combining: 1) a multiscale signal fidelity measure on the basis of a modified structural similarity index and 2) a naturalness measure on the basis of intensity statistics of natural images. Validations using independent subject-rated image databases show good correlations between subjective ranking score and the proposed tone-mapped image quality index (TMQI). Bestandsnummer des Verkäufers 9783330046573
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Optimizing Tone Mapped Image Quality Index and Enhance Image Quality with Iterative Algorithm
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3330046570
ISBN 13: 9783330046573
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Taschenbuch. Zustand: Neu. Optimizing Tone Mapped Image Quality Index and Enhance Image Quality with Iterative Algorithm | Shabanam Tamboli (u. a.) | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783330046573 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 112951078
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