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020 _a9789811577642
_9978-981-15-7764-2
024 7 _a10.1007/978-981-15-7764-2
_2doi
050 4 _aTA1637-1638
072 7 _aTJF
_2bicssc
072 7 _aUYT
_2bicssc
072 7 _aCOM012050
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082 0 4 _a621.382
_223
100 1 _aDing, Yong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aStereoscopic Image Quality Assessment
_h[electronic resource] /
_cby Yong Ding, Guangming Sun.
250 _a1st ed. 2020.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2020.
300 _aIX, 169 p. 55 illus., 18 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvanced Topics in Science and Technology in China,
_x1995-6827 ;
_v60
505 0 _aIntroduction -- Basic of 2D Image Quality Assessment -- The Difference Between 2D IQA and 3D IQA -- Stereoscopic Image Quality Assessment Based on 2D IQA Models -- Stereoscopic Image Quality Assessment Based on Binocular Vision -- Learning Perceptual Quality of Stereopsis from Human Visual Properties -- Stereoscopic Image Quality Assessment Based on Deep Convolutional Neural Models -- Summary and Future Directions.
520 _aThis book provides a comprehensive review of all aspects relating to visual quality assessment for stereoscopic images, including statistical mathematics, stereo vision and deep learning. It covers the fundamentals of stereoscopic image quality assessment (SIQA), the relevant engineering problems and research significance, and also offers an overview of the significant advances in visual quality assessment for stereoscopic images, discussing and analyzing the current state-of-the-art in SIQA algorithms, the latest challenges and research directions as well as novel models and paradigms. In addition, a large number of vivid figures and formulas help readers gain a deeper understanding of the foundation and new applications of objective stereoscopic image quality assessment technologies. Reviewing the latest advances, challenges and trends in stereoscopic image quality assessment, this book is a valuable resource for researchers, engineers andgraduate students working in related fields, including imaging, displaying and image processing, especially those interested in SIQA research.
650 0 _aImage processing.
650 0 _aImage processing
_xDigital techniques.
650 0 _aComputer vision.
650 0 _aDatabase management.
650 0 _aArtificial intelligence.
650 0 _aElectronics.
650 0 _aMeasurement.
650 0 _aMeasuring instruments.
650 1 4 _aImage Processing.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aDatabase Management System.
650 2 4 _aArtificial Intelligence.
650 2 4 _aElectronics and Microelectronics, Instrumentation.
650 2 4 _aMeasurement Science and Instrumentation.
700 1 _aSun, Guangming.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811577635
776 0 8 _iPrinted edition:
_z9789811577659
776 0 8 _iPrinted edition:
_z9789811577666
830 0 _aAdvanced Topics in Science and Technology in China,
_x1995-6827 ;
_v60
856 4 0 _uhttps://doi.org/10.1007/978-981-15-7764-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c173693
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