000 | 04121nam a22005295i 4500 | ||
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001 | 978-3-031-02243-2 | ||
003 | DE-He213 | ||
005 | 20240730163845.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2007 sz | s |||| 0|eng d | ||
020 |
_a9783031022432 _9978-3-031-02243-2 |
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024 | 7 |
_a10.1007/978-3-031-02243-2 _2doi |
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050 | 4 | _aT1-995 | |
072 | 7 |
_aTBC _2bicssc |
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_aTBC _2thema |
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100 | 1 |
_aKatsaggelos, Aggelos K. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980846 |
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245 | 1 | 0 |
_aSuper Resolution of Images and Video _h[electronic resource] / _cby Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos. |
250 | _a1st ed. 2007. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2007. |
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300 |
_aXVI, 134 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Image, Video, and Multimedia Processing, _x1559-8144 |
|
505 | 0 | _aIntroduction -- Bayesian Formulation of Super-Resolution Image Reconstruction -- Low-Resolution Image Formation Models -- Motion Estimation in Super Resolution -- Estimation of High-Resolution Images -- Bayesian Inference Models in Super Resolution -- Super Resolution for Compression. | |
520 | _aThis book focuses on the super resolution of images and video. The authors' use of the term super resolution (SR) is used to describe the process of obtaining a high resolution (HR) image, or a sequence of HR images, from a set of low resolution (LR) observations. This process has also been referred to in the literature as resolution enhancement (RE). SR has been applied primarily to spatial and temporal RE, but also to hyperspectral image enhancement. This book concentrates on motion based spatial RE, although the authors also describe motion free and hyperspectral image SR problems. Also examined is the very recent research area of SR for compression, which consists of the intentional downsampling, during pre-processing, of a video sequence to be compressed and the application of SR techniques, during post-processing, on the compressed sequence. It is clear that there is a strong interplay between the tools and techniques developed for SR and a number of other inverse problems encountered in signal processing (e.g., image restoration, motion estimation). SR techniques are being applied to a variety of fields, such as obtaining improved still images from video sequences (video printing), high definition television, high performance color Liquid Crystal Display (LCD) screens, improvement of the quality of color images taken by one CCD, video surveillance, remote sensing, and medical imaging. The authors believe that the SR/RE area has matured enough to develop a body of knowledge that can now start to provide useful and practical solutions to challenging real problems and that SR techniques can be an integral part of an image and video codec and can drive the development of new coder-decoders (codecs) and standards. | ||
650 | 0 |
_aEngineering. _99405 |
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650 | 0 |
_aElectrical engineering. _980847 |
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650 | 0 |
_aSignal processing. _94052 |
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650 | 1 | 4 |
_aTechnology and Engineering. _980848 |
650 | 2 | 4 |
_aElectrical and Electronic Engineering. _980849 |
650 | 2 | 4 |
_aSignal, Speech and Image Processing. _931566 |
700 | 1 |
_aMolina, Rafael. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980850 |
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700 | 1 |
_aMateos, Javier. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980851 |
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710 | 2 |
_aSpringerLink (Online service) _980852 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031011153 |
776 | 0 | 8 |
_iPrinted edition: _z9783031033711 |
830 | 0 |
_aSynthesis Lectures on Image, Video, and Multimedia Processing, _x1559-8144 _980853 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-02243-2 |
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