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008			230328s2007 sz | s |||| 0|eng d
020			_a9783031022432
024	7		_a10.1007/978-3-031-02243-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1637 _b2007 EB
100	1		_aKatsaggelos, Aggelos Konstantinos, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685869 _d1956-
245	1	0	_aSuper Resolution of Images and Video _cby Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos
250			_a1st edition 2007
264		1	_aCham _bSpringer International Publishing _c2007
300			_a1 recurso en línea (XVI, 134 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSynthesis Collection of Technology_2007
700	1		_aMolina, Rafael _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aMateos, Javier _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783031011153
776	0	8	_iPrinted edition: _z9783031033711
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02243-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eIG _zSI