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020 _a9783031022388
_9978-3-031-02238-8
024 7 _a10.1007/978-3-031-02238-8
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
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082 0 4 _a620
_223
100 1 _aWang, Zhou.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986998
245 1 0 _aModern Image Quality Assessment
_h[electronic resource] /
_cby Zhou Wang, Alan C. Bovik.
250 _a1st ed. 2006.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2006.
300 _aX, 146 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 -- 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.
650 0 _aEngineering.
_99405
650 0 _aElectrical engineering.
_986999
650 0 _aSignal processing.
_94052
650 1 4 _aTechnology and Engineering.
_987001
650 2 4 _aElectrical and Electronic Engineering.
_987002
650 2 4 _aSignal, Speech and Image Processing.
_931566
700 1 _aBovik, Alan C.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987003
710 2 _aSpringerLink (Online service)
_987005
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031011108
776 0 8 _iPrinted edition:
_z9783031033667
830 0 _aSynthesis Lectures on Image, Video, and Multimedia Processing,
_x1559-8144
_987007
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02238-8
912 _aZDB-2-SXSC
942 _cEBK
999 _c86036
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