소장자료
| LDR | 04212nam a22005655i 4500 | ||
| 001 | 0100775059▲ | ||
| 003 | DE-He213▲ | ||
| 005 | 20231017152321▲ | ||
| 007 | cr nn 008mamaa▲ | ||
| 008 | 221019s2022 si | s |||| 0|eng d▲ | ||
| 020 | ▼a9789811933479▼9978-981-19-3347-9▲ | ||
| 024 | 7 | ▼a10.1007/978-981-19-3347-9▼2doi▲ | |
| 050 | 4 | ▼aTA1637-1638▲ | |
| 082 | 0 | 4 | ▼a621.382▼223▲ |
| 100 | 1 | ▼aGu, Ke.▼eauthor.▼0(orcid)0000-0001-5540-3235▼1https://orcid.org/0000-0001-5540-3235▼4aut▼4http://id.loc.gov/vocabulary/relators/aut▲ | |
| 245 | 1 | 0 | ▼aQuality Assessment of Visual Content▼h[electronic resource] /▼cby Ke Gu, Hongyan Liu, Chengxu Zhou.▲ |
| 250 | ▼a1st ed. 2022.▲ | ||
| 264 | 1 | ▼aSingapore :▼bSpringer Nature Singapore :▼bImprint: Springer,▼c2022.▲ | |
| 300 | ▼aXVII, 242 p. 75 illus., 66 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 | ▼aAdvances in Computer Vision and Pattern Recognition,▼x2191-6594▲ | |
| 505 | 0 | ▼aChapter 1. Introduction -- Chapter 2. Quality Assessment of Screen Content Images -- Chapter 3. Quality Assessment of 3D-Synthesized Images -- Chapter 4. Quality Assessment of Sonar Images -- Chapter 5. Quality Assessment of Enhanced Images -- Chapter 6. Quality Assessment of Light-Field Image -- Chapter 7. Quality Assessment of Virtual Reality Images -- Chapter 8. Quality Assessment of Super-Resolution Images.▲ | |
| 520 | ▼aThis book provides readers with a comprehensive review of image quality assessment technology, particularly applications on screen content images, 3D-synthesized images, sonar images, enhanced images, light-field images, VR images, and super-resolution images. It covers topics containing structural variation analysis, sparse reference information, multiscale natural scene statistical analysis, task and visual perception, contour degradation measurement, spatial angular measurement, local and global assessment metrics, and more. All of the image quality assessment algorithms of this book have a high efficiency with better performance compared to other image quality assessment algorithms, and the performance of these approaches mentioned above can be demonstrated by the results of experiments on real-world images. On the basis of this, those interested in relevant fields can use the results obtained through these quality assessment algorithms for further image processing. The goal of this book is to facilitate the use of these image quality assessment algorithms by engineers and scientists from various disciplines, such as optics, electronics, math, photography techniques and computation techniques. The book can serve as a reference for graduate students who are interested in image quality assessment techniques, for front-line researchers practicing these methods, and for domain experts working in this area or conducting related application development.▲ | ||
| 650 | 0 | ▼aImage processing.▲ | |
| 650 | 0 | ▼aImage processing—Digital techniques.▲ | |
| 650 | 0 | ▼aComputer vision.▲ | |
| 650 | 1 | 4 | ▼aImage Processing.▲ |
| 650 | 2 | 4 | ▼aComputer Imaging, Vision, Pattern Recognition and Graphics.▲ |
| 650 | 2 | 4 | ▼aComputer Vision.▲ |
| 700 | 1 | ▼aLiu, Hongyan.▼eauthor.▼0(orcid)0000-0002-3990-9639▼1https://orcid.org/0000-0002-3990-9639▼4aut▼4http://id.loc.gov/vocabulary/relators/aut▲ | |
| 700 | 1 | ▼aZhou, Chengxu.▼eauthor.▼0(orcid)0000-0002-6348-9910▼1https://orcid.org/0000-0002-6348-9910▼4aut▼4http://id.loc.gov/vocabulary/relators/aut▲ | |
| 710 | 2 | ▼aSpringerLink (Online service)▲ | |
| 773 | 0 | ▼tSpringer Nature eBook▲ | |
| 776 | 0 | 8 | ▼iPrinted edition:▼z9789811933462▲ |
| 776 | 0 | 8 | ▼iPrinted edition:▼z9789811933486▲ |
| 776 | 0 | 8 | ▼iPrinted edition:▼z9789811933493▲ |
| 830 | 0 | ▼aAdvances in Computer Vision and Pattern Recognition,▼x2191-6594▲ | |
| 856 | 4 | 0 | ▼uhttps://doi.org/10.1007/978-981-19-3347-9▲ |
Quality Assessment of Visual Content[electronic resource]
자료유형
국외eBook
서명/책임사항
Quality Assessment of Visual Content [electronic resource] / by Ke Gu, Hongyan Liu, Chengxu Zhou.
판사항
1st ed. 2022.
형태사항
XVII, 242 p. 75 illus., 66 illus. in color. online resource.
총서사항
내용주기
Chapter 1. Introduction -- Chapter 2. Quality Assessment of Screen Content Images -- Chapter 3. Quality Assessment of 3D-Synthesized Images -- Chapter 4. Quality Assessment of Sonar Images -- Chapter 5. Quality Assessment of Enhanced Images -- Chapter 6. Quality Assessment of Light-Field Image -- Chapter 7. Quality Assessment of Virtual Reality Images -- Chapter 8. Quality Assessment of Super-Resolution Images.
요약주기
This book provides readers with a comprehensive review of image quality assessment technology, particularly applications on screen content images, 3D-synthesized images, sonar images, enhanced images, light-field images, VR images, and super-resolution images. It covers topics containing structural variation analysis, sparse reference information, multiscale natural scene statistical analysis, task and visual perception, contour degradation measurement, spatial angular measurement, local and global assessment metrics, and more. All of the image quality assessment algorithms of this book have a high efficiency with better performance compared to other image quality assessment algorithms, and the performance of these approaches mentioned above can be demonstrated by the results of experiments on real-world images. On the basis of this, those interested in relevant fields can use the results obtained through these quality assessment algorithms for further image processing. The goal of this book is to facilitate the use of these image quality assessment algorithms by engineers and scientists from various disciplines, such as optics, electronics, math, photography techniques and computation techniques. The book can serve as a reference for graduate students who are interested in image quality assessment techniques, for front-line researchers practicing these methods, and for domain experts working in this area or conducting related application development.
주제
ISBN
9789811933479
관련 인기대출 도서