| Description |
1 online resource (xx, 512 pages, 30 unnumbered pages of plates) : illustrations (some color) |
| Series |
Digital imaging and computer vision series |
|
Digital imaging and computer vision series.
|
| Contents |
1. Single capture image fusion / James E. Adams, Jr. [and others] -- 2. Single capture image fusion with motion consideration / James E. Adams, Jr. [and others] -- 3. Lossless compression of bayer color filter array images / King-Hong Chung and Yuk-Hee Chan -- 4. Color restoration and enhancement in the compressed domain / Jayanta Mukherjee and Sanjit K. Mitra -- 5. Principal component analysis-based denoising of color filter array images / Rastislav Lukac and Lei Zhang -- 6. Regularization-based color image demosaicking / Daniele Menon and Giancarlo Calvagno -- 7. Super-resolution imaging / Bahadir K. Gunturk -- 8. Image deblurring using multi-exposed images / Seung-Won Jung and Sung-Jea Ko -- 9. Color high-dynamic range imaging : algorithms for acquisition and display / Ossi Pirinen, Alessandro Foi, and Atanas Gotchev -- 10. High-dynamic range imaging for dynamic scenes / Celine Loscos and Katrien Jacobs -- 11. Shadow detection in digital images and videos / Csaba Benedek and Tamas Sziranyi -- 12. Document image rectification using single-view or two-view camera input / Hyung Il Koo and Nam Ik Cho -- 13. Bilateral filter : theory and applications / Bahadir K. Gunturk -- 14. Painterly rendering / Giuseppe Papari and Nicolai Petkov -- 15. Machine learning methods for automatic image colorization / Guillaume Charpiat [and others] -- 16. Machine learning for digital face beautification / Gideon Dror -- 17. High-quality light field acquisition and processing / Chia-Kai Liang and Homer H. Chen -- 18. Dynamic view synthesis with an array of cameras / Ruigang Yang, Huaming Wang, and Cha Zhang |
| Summary |
Computational photography is a new research field that has evolved from computer vision, image processing and computer graphics. This book details recent advances in computational photography, their applications, and specific research challenges. Computational photography refers broadly to imaging techniques that enhance or extend the capabilities of digital photography. This new and rapidly developing research field has evolved from computer vision, image processing, computer graphics and applied optics-and numerous commercial products capitalizing on its principles have already appeared in diverse market applications, due to the gradual migration of computational algorithms from computers to imaging devices and software. Computational Photography: Methods and Applications provides a strong, fundamental understanding of theory and methods, and a foundation upon which to build solutions for many of today's most interesting and challenging computational imaging problems. Elucidating cutting-edge advances and applications in digital imaging, camera image processing, and computational photography, with a focus on related research challenges, this book: Describes single capture image fusion technology for consumer digital cameras Discusses the steps in a camera image processing pipeline, such as visual data compression, color correction and enhancement, denoising, demosaicking, super-resolution reconstruction, deblurring, and high dynamic range imaging Covers shadow detection for surveillance applications, camera-driven document rectification, bilateral filtering and its applications, and painterly rendering of digital images Presents machine-learning methods for automatic image colorization and digital face beautification Explores light field acquisition and processing, space-time light field rendering, and dynamic view synthesis with an array of cameras Because of the urgent challenges associated with emerging digital camera applications, image processing methods for computational photography are of paramount importance to research and development in the imaging community. Presenting the work of leading experts, and edited by a renowned authority in digital color imaging and camera image processing, this book considers the rapid developments in this area and addresses very particular research and application problems. It is ideal as a stand-alone professional reference for design and implementation of digital image and video processing tasks, and it can also be used to support graduate courses in computer vision, digital imaging, visual data processing, and computer graphics, among others |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Computational photography.
|
|
COMPUTERS -- Digital Media -- Photography.
|
|
Computational photography.
|
| Form |
Electronic book
|
| Author |
Lukac, Rastislav.
|
| ISBN |
1315218089 |
|
1351825283 |
|
1439817502 |
|
9781315218083 |
|
9781351825283 |
|
9781439817506 |
|
