LEADER 04133nam 22007935 450 001 9910863296103321 005 20251113174249.0 010 $a9789811577642 010 $a9811577641 024 7 $a10.1007/978-981-15-7764-2 035 $a(CKB)4100000011515631 035 $a(DE-He213)978-981-15-7764-2 035 $a(MiAaPQ)EBC6381374 035 $a(PPN)258304294 035 $a(EXLCZ)994100000011515631 100 $a20201022d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStereoscopic Image Quality Assessment /$fby Yong Ding, Guangming Sun 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (IX, 169 p. 55 illus., 18 illus. in color.) 225 1 $aAdvanced Topics in Science and Technology in China,$x1995-6827 ;$v60 311 08$a9789811577635 311 08$a9811577633 327 $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. 330 $aThis book provides a comprehensive review of all aspects relating to visual quality assessment for stereoscopic images, including statistical mathematics, stereo vision and deep learning. It covers the fundamentals of stereoscopic image quality assessment (SIQA), the relevant engineering problems and research significance, and also offers an overview of the significant advances in visual quality assessment for stereoscopic images, discussing and analyzing the current state-of-the-art in SIQA algorithms, the latest challenges and research directions as well as novel models and paradigms. In addition, a large number of vivid figures and formulas help readers gain a deeper understanding of the foundation and new applications of objective stereoscopic image quality assessment technologies. Reviewing the latest advances, challenges and trends in stereoscopic image quality assessment, this book is a valuable resource for researchers, engineers andgraduate students working in related fields, including imaging, displaying and image processing, especially those interested in SIQA research. 410 0$aAdvanced Topics in Science and Technology in China,$x1995-6827 ;$v60 606 $aImage processing 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aDatabase management 606 $aArtificial intelligence 606 $aElectronics 606 $aMeasurement 606 $aMeasuring instruments 606 $aImage Processing 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aDatabase Management System 606 $aArtificial Intelligence 606 $aElectronics and Microelectronics, Instrumentation 606 $aMeasurement Science and Instrumentation 615 0$aImage processing. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aDatabase management. 615 0$aArtificial intelligence. 615 0$aElectronics. 615 0$aMeasurement. 615 0$aMeasuring instruments. 615 14$aImage Processing. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aDatabase Management System. 615 24$aArtificial Intelligence. 615 24$aElectronics and Microelectronics, Instrumentation. 615 24$aMeasurement Science and Instrumentation. 676 $a621.367 700 $aDing$b Yong$0739598 702 $aSun$b Guangming 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910863296103321 996 $aStereoscopic Image Quality Assessment$94463044 997 $aUNINA