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Image Resolution Enhancing Techniques: Bi-Linear, Bi-Cubic and Adaptive SubPixel Interpolation Methods - Softcover
Synopsis
In this book, an image resolution enhancing technique for 2D images extracted from an integral 3D image is described. To improve the resolution of the view-point image, its size is increased in horizontal direction by using one of the following interpolation methods: Bilinear, Bicubic and adaptive sub pixel interpolation methods. In Bilinear method new pixel value is calculated by the weighted average of 2x2 neighborhood pixels. In Bicubic method new pixel value is computed by taking a weighted average of 4x4 nearest neighborhood pixels. In adaptive sub pixel interpolation method fourth and fifth columns behind the micro lenses are extracted to obtain the fourth and fifth view point images. 1) Dimensional characteristics curves are extracted for both the frames. Vertical displacement value is calculated by aligning one curve with other Low resolution frame is incremented with vertical displacement value, which is known as aligned frame i.e. fifth pixel sub image. Then the interpolation process is performed using aligned frame and previous frame i.e. fourth pixel frame. Thus the high resolution image is obtained from several low resolution image frames.
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About the Author
Dr. Noorul Hassan completed his PhD from Aligarh Muslim University in Electronics and Communication Engineering and M.S. from De Montfort University(UK)in Digital Signal and Image Processing. Also worked as Digital Mapping Analyst at Infoterra Ltd,UK on LiDAR image processing. Now currently teaching subjects like Signals & System, DSP and Radar
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2014
- ISBN 10 365956530X
- ISBN 13 9783659565304
- BindingPaperback
- LanguageEnglish
- Number of pages76
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Image Resolution Enhancing Techniques
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LAP LAMBERT Academic Publishing Jul 2014, 2014
ISBN 10: 365956530X
ISBN 13: 9783659565304
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Taschenbuch
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 -In this book, an image resolution enhancing technique for 2D images extracted from an integral 3D image is described. To improve the resolution of the view-point image, its size is increased in horizontal direction by using one of the following interpolation methods: Bilinear, Bicubic and adaptive sub pixel interpolation methods. In Bilinear method new pixel value is calculated by the weighted average of 2x2 neighborhood pixels. In Bicubic method new pixel value is computed by taking a weighted average of 4x4 nearest neighborhood pixels. In adaptive sub pixel interpolation method fourth and fifth columns behind the micro lenses are extracted to obtain the fourth and fifth view point images. 1) Dimensional characteristics curves are extracted for both the frames. Vertical displacement value is calculated by aligning one curve with other Low resolution frame is incremented with vertical displacement value, which is known as aligned frame i.e. fifth pixel sub image. Then the interpolation process is performed using aligned frame and previous frame i.e. fourth pixel frame. Thus the high resolution image is obtained from several low resolution image frames. 76 pp. Englisch. Seller Inventory # 9783659565304
Quantity: 2 available
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Image Resolution Enhancing Techniques : Bi-Linear, Bi-Cubic and Adaptive SubPixel Interpolation Methods
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 365956530X
ISBN 13: 9783659565304
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, an image resolution enhancing technique for 2D images extracted from an integral 3D image is described. To improve the resolution of the view-point image, its size is increased in horizontal direction by using one of the following interpolation methods: Bilinear, Bicubic and adaptive sub pixel interpolation methods. In Bilinear method new pixel value is calculated by the weighted average of 2x2 neighborhood pixels. In Bicubic method new pixel value is computed by taking a weighted average of 4x4 nearest neighborhood pixels. In adaptive sub pixel interpolation method fourth and fifth columns behind the micro lenses are extracted to obtain the fourth and fifth view point images. 1) Dimensional characteristics curves are extracted for both the frames. Vertical displacement value is calculated by aligning one curve with other Low resolution frame is incremented with vertical displacement value, which is known as aligned frame i.e. fifth pixel sub image. Then the interpolation process is performed using aligned frame and previous frame i.e. fourth pixel frame. Thus the high resolution image is obtained from several low resolution image frames. Seller Inventory # 9783659565304
Quantity: 1 available
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Image Resolution Enhancing Techniques
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 365956530X
ISBN 13: 9783659565304
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Softcover
Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hassan NoorulDr. Noorul Hassan completed his PhD from Aligarh Muslim University in Electronics and Communication Engineering and M.S. from De Montfort University(UK)in Digital Signal and Image Processing. Also worked as Digital Mappi. Seller Inventory # 5165136
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