000 | 03962nam a22006735i 4500 | ||
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001 | 978-981-15-7764-2 | ||
003 | DE-He213 | ||
005 | 20240423125042.0 | ||
007 | cr nn 008mamaa | ||
008 | 201022s2020 si | s |||| 0|eng d | ||
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_a9789811577642 _9978-981-15-7764-2 |
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024 | 7 |
_a10.1007/978-981-15-7764-2 _2doi |
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050 | 4 | _aTA1637-1638 | |
072 | 7 |
_aTJF _2bicssc |
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_aUYT _2bicssc |
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_aTJF _2thema |
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_aUYT _2thema |
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082 | 0 | 4 |
_a621.382 _223 |
100 | 1 |
_aDing, Yong. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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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. |
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300 |
_aIX, 169 p. 55 illus., 18 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aAdvanced Topics in Science and Technology in China, _x1995-6827 ; _v60 |
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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. |
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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 |
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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 _d173693 |