000 04121nam a22005295i 4500
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
024 7 _a10.1007/978-3-031-02243-2
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
082 0 4 _a620
_223
100 1 _aKatsaggelos, Aggelos K.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980846
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.
300 _aXVI, 134 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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
650 0 _aElectrical engineering.
_980847
650 0 _aSignal processing.
_94052
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
700 1 _aMateos, Javier.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980851
710 2 _aSpringerLink (Online service)
_980852
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
912 _aZDB-2-SXSC
942 _cEBK
999 _c85054
_d85054