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Motion-Free Super-Resolution [recurso electrónico] / by Subhasis Chaudhuri, Manjunath V. Joshi.

Por: Colaborador(es): Tipo de material: TextoTextoEditor: Boston, MA : Springer US, 2005Descripción: XIII, 239 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • recurso en línea
ISBN:
  • 9780387259086
  • 99780387259086
Tema(s): Formatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD:
  • 006.6 23
Recursos en línea:
Contenidos:
Research on Image Super-Resolution -- Use of Defocus Cue -- Photometry Based Method -- Blind Restoration of Photometric Observations -- Use of Learnt Wavelet Coefficients -- Extension of Generalized Interpolation to Eigen Decomposition -- Use of Zoom Cue -- Looking Ahead.
En: Springer eBooksResumen: With the explosion of Internet technology and graphics engines, digital images are now everywhere. Image capturing tools are all pervading - in our pockets to inside a satellite. And although imaging applications demand an availability to high resolution images, such images are not picture perfect and may be lacking sufficient details. This requires that these images be super-resolved for improved details. How to achieve this is what constitutes research in the area of image super-resolution. Motion-Free Super-Resolution explores new technology for image super-resolution - applying cues other than the motion cue in super-resolving a scene. This book will serve as an essential reference for both academecians and practicing engineers in the area of image processing and computer vision, as well as providing a basis for ongoing research in this field.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Libros electrónicos Libros electrónicos CICY Libro electrónico Libro electrónico 006.6 (Browse shelf(Opens below)) Available

Research on Image Super-Resolution -- Use of Defocus Cue -- Photometry Based Method -- Blind Restoration of Photometric Observations -- Use of Learnt Wavelet Coefficients -- Extension of Generalized Interpolation to Eigen Decomposition -- Use of Zoom Cue -- Looking Ahead.

With the explosion of Internet technology and graphics engines, digital images are now everywhere. Image capturing tools are all pervading - in our pockets to inside a satellite. And although imaging applications demand an availability to high resolution images, such images are not picture perfect and may be lacking sufficient details. This requires that these images be super-resolved for improved details. How to achieve this is what constitutes research in the area of image super-resolution. Motion-Free Super-Resolution explores new technology for image super-resolution - applying cues other than the motion cue in super-resolving a scene. This book will serve as an essential reference for both academecians and practicing engineers in the area of image processing and computer vision, as well as providing a basis for ongoing research in this field.

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