000			04630nam a2200637 i 4500
001			6812930
003			IEEE
005			20200413152848.0
006			m eo d
007			cr bn |||m|||a
008			081006s2006 cau fob 000 0 eng d
020			_a1598290231 (electronic bk.)
020			_a9781598290233 (electronic bk.)
020			_a1598290223 (paper)
020			_a9781598290226 (paper)
024	7		_a10.2200/S00010ED1V01Y200508IVM003 _2doi
035			_a(OCoLC)63539599
035			_a(CaBNVSL)gtp00531487
040			_aCaBNVSL _cCaBNVSL _dCaBNVSL
050		4	_aTA1637 _b.W36 2006
082	0	4	_a621.36/7 _222
090			_a _bMoCl _e200508IVM003
100	1		_aWang, Zhou, _d1972-
245	1	0	_aModern image quality assessment _h[electronic resource] / _cZhou Wang, Alan C. Bovik.
260			_aSan Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : _bMorgan & Claypool Publishers, _cc2006.
300			_a1 electronic document (x, 146 p.) : _bdigital file.
490	1		_aSynthesis lectures on image, video, and multimedia processing ; _v#3
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
500			_aPart of: Synthesis digital library of engineering and computer science.
500			_aSeries from website.
500			_aSeries statement from caption on home page.
504			_aIncludes bibliographical references (p. 133-146).
505	0		_aIntroduction -- Bottom-up approaches for full-reference image quality assessment -- Top-down approaches for full-reference image quality assessment -- No-reference image quality assessment -- Reduced-reference image quality assessment -- Conclusion -- Bibliography.
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 Lecture book is about objective image quality assessment--where the aim is to provide computational models that can automatically predict perceptual image quality. The early years of the 21st century have witnessed a tremendous growth in the use of digital images as a means for representing and communicating information. A considerable percentage of this literature is devoted to methods for improving the appearance of images, or for maintaining the appearance of images that are processed. Nevertheless, the quality of digital images, processed or otherwise, is rarely perfect. Images are subject to distortions during acquisition, compression, transmission, processing, and reproduction. To maintain, control, and enhance the quality of images, it is important for image acquisition, management, communication, and processing systems to be able to identify and quantify image quality degradations. The goals of this book are as follows; a) to introduce the fundamentals of image quality assessment, and to explain the relevant engineering problems, b) to give a broad treatment of the current state-of-the-art in image quality assessment, by describing leading algorithms that address these engineering problems, and c) to provide new directions for future research, by introducing recent models and paradigms that significantly differ from those used in the past. The book is written to be accessible to university students curious about the state-of-the-art of image quality assessment, expert industrial R&D engineers seeking to implement image/video quality assessment systems for specific applications, and academic theorists interested in developing new algorithms for image quality assessment or using existing algorithms to design or optimize other image processing applications.
530			_aAlso available in print.
588			_aTitle from PDF t.p. (viewed on Oct. 10, 2008).
650		0	_aImage processing _xDigital techniques.
650		0	_aImaging systems _xImage quality.
690			_aImage quality assessment.
690			_aPerceptual image processing.
690			_aVisual perception.
690			_aComputer vision.
690			_aComputational vision.
700	1		_aBovik, Alan C. _q(Alan Conrad), _d1958-
730	0		_aSynthesis digital library of engineering and computer science.
830		0	_aSynthesis lectures on image, video, and multimedia processing ; _v#3.
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6812930
856	4	0	_3Abstract with links to full text _uhttp://dx.doi.org/10.2200/S00010ED1V01Y200508IVM003
999			_c561576 _d561576