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008			220601s2006 sz | s |||| 0|eng d
020			_a9783031022388
024	7		_a10.1007/978-3-031-02238-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1637 _b2006 EB
100			_aWang, Zhou _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _984678
245	1	0	_aModern Image Quality Assessment _cby Zhou Wang, Alan C. Bovik
250			_a1st edition 2006
264		1	_aCham _bSpringer International Publishing _c2006
300			_a1 recurso en línea (X, 146 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 -- 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.
520			_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.
988			_aSynthesis Collection of Technology_2006
650		7	_2embne _9413188 _aProceso digital de imágenes
650		7	_2embne _9670116 _aSistemas de imágenes _xCalidad
700	1		_aBovik, Alan C. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _967616 _d1958- _q(Alan Conrad)
776	0	8	_iPrinted edition: _z9783031011108
776	0	8	_iPrinted edition: _z9783031033667
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02238-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI