| 000 | 04897nam a2200709 i 4500 | ||
|---|---|---|---|
| 001 | 6812990 | ||
| 003 | IEEE | ||
| 005 | 20200413152848.0 | ||
| 006 | m eo d | ||
| 007 | cr bn |||m|||a | ||
| 008 | 081006s2007 cau fob 001 0 eng d | ||
| 020 | _a1598290851 (electronic bk.) | ||
| 020 | _a9781598290851 (electronic bk.) | ||
| 024 | 7 |
_a10.2200/S00036ED1V01Y200606IVM007 _2doi |
|
| 035 | _a(OCoLC)123492754 | ||
| 035 | _a(CaBNVSL)gtp00531488 | ||
| 040 |
_aCaBNVSL _cCaBNVSL _dCaBNVSL |
||
| 050 | 4 |
_aTA1637 _b.K38 2007 |
|
| 082 | 0 | 4 |
_a621.36/7 _222 |
| 090 |
_a _bMoCl _e200606IVM007 |
||
| 100 | 1 |
_aKatsaggelos, Aggelos Konstantinos, _d1956- |
|
| 245 | 1 | 0 |
_aSuper resolution of images and video _h[electronic resource] / _cAggelos K. Katsaggelos, Rafael Molina, Javier Mateos. |
| 250 | _a1st ed. | ||
| 260 |
_aSan Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : _bMorgan & Claypool Publishers, _cc2007. |
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| 300 |
_a1 electronic document (xvi, 134 p.) : _bdigital file. |
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| 490 | 1 |
_aSynthesis lectures on image, video, and multimedia processing ; _v#7 |
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| 538 | _aMode of access: World Wide Web. | ||
| 538 | _aSystem requirements: PDF reader. | ||
| 500 | _aPart of: Synthesis digital library of engineering and computer science. | ||
| 500 | _aSeries from website. | ||
| 504 | _aIncludes bibliographical references (p. 113-127) and index. | ||
| 505 | 0 | _aIntroduction -- Bayesian formulation of super-resolution imagereconstruction -- Low-resolution image formation models -- Motionestimation in superresolution -- Estimation of high-resolution images -- Bayesian inference models in super resolution -- Super resolution for compression -- Epilogue -- Bibliography -- Index -- Author biography. | |
| 506 | 1 | _aAbstract freely available; full-text restricted to subscribers or individual document purchasers. | |
| 506 | _aAvailable to subscribers only. | ||
| 510 | 0 | _aCompendex | |
| 510 | 0 | _aGoogle book search | |
| 510 | 0 | _aGoogle scholar | |
| 510 | 0 | _aINSPEC | |
| 520 | 0 | _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. | |
| 588 | _aTitle from PDF t.p. (viewed on Oct. 10, 2008). | ||
| 650 | 0 |
_aImage processing _xDigital techniques _xMathematical models. |
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| 650 | 0 |
_aImage processing _xDigital techniques. |
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| 650 | 0 |
_aImage reconstruction _xMathematical models. |
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| 650 | 0 |
_aResolution (Optics) _xMathematical models. |
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| 650 | 0 |
_aVideo compression _xMathematical models. |
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| 690 | _aImage processing. | ||
| 690 | _aVideo processing. | ||
| 690 | _aImage compression. | ||
| 690 | _aImage enhancement. | ||
| 690 | _aResolution enhancement. | ||
| 690 | _aSuper resolution. | ||
| 690 | _aHigh resolution. | ||
| 690 | _aSR. | ||
| 690 | _aLR. | ||
| 690 | _aRE. | ||
| 700 | 1 |
_aMateos, Javier, _d1968- |
|
| 700 | 1 |
_aMolina, Rafael, _d1957- |
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| 730 | 0 | _aSynthesis digital library of engineering and computer science. | |
| 830 | 0 |
_aSynthesis lectures on image, video, and multimedia processing ; _v#7. |
|
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6812990 |
| 856 | 4 | 0 |
_3Abstract with links to full text _uhttp://dx.doi.org/10.2200/S00036ED1V01Y200606IVM007 |
| 999 |
_c561577 _d561577 |
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