Computational Photography: Methods and Applications: Digital Imaging and Computer Vision, cartea 2
Editat de Rastislav Lukacen Limba Engleză Hardback – oct 2010
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
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Specificații
ISBN-13: 9781439817490
ISBN-10: 1439817499
Pagini: 566
Ilustrații: 296 b/w images, 48 tables, 73 color tables and N/A CR Book
Dimensiuni: 178 x 257 x 33 mm
Greutate: 1.13 kg
Ediția:New.
Editura: CRC Press
Seria Digital Imaging and Computer Vision
Locul publicării:United States
ISBN-10: 1439817499
Pagini: 566
Ilustrații: 296 b/w images, 48 tables, 73 color tables and N/A CR Book
Dimensiuni: 178 x 257 x 33 mm
Greutate: 1.13 kg
Ediția:New.
Editura: CRC Press
Seria Digital Imaging and Computer Vision
Locul publicării:United States
Public țintă
Graduate students in electrical engineering, computer engineering, computer science, and art; development engineers who are involved in software/hardware development for the consumer electronics industry; and scientists and engineers working in computer vision, digital imaging and computer graphics.Cuprins
Single Capture Image Fusion, J.E. Adams, Jr., J.F. Hamilton, Jr., M. Kumar, E.O. Morales, R. Palum, and B.H. Pillman
Single Capture Image Fusion with Motion Consideration, J.E. Adams, Jr., A. Deever, J.F. Hamilton, Jr., M. Kumar, R. Palum, and B.H. Pillman
Lossless Compression of Bayer Color Filter Array Images. K.-H. Chung and Y.-H. Chan
Color Restoration and Enhancement in the Compressed Domain, J. Mukherjee and S.K. Mitra
Principal Component Analysis-Based Denoising of Color Filter Array Images, R. Lukac and L. Zhang
Regularization-Based Color Image Demosaicking, D. Menon and G. Calvagno
Super-Resolution Imaging, B.K. Gunturk
Image Deblurring Using Multi-Exposed Images, S.-W. Jung and S.-J. Ko
Color High Dynamic Range Imaging: Algorithms for Acquisition and Display, O. Pirinen, A. Foi, and A. Gotchev
High Dynamic Range Imaging for Dynamic Scenes, C. Loscos and K. Jacobs
Shadow Detection in Digital Images and Videos, C. Benedek and T. Sziranyi
Document Image Rectification Using Single-View or Two-View Camera Input, H. Il Koo and N. Ik Cho
Bilateral Filter: Theory and Applications, B.K. Gunturk
Painterly Rendering, G. Papari and N. Petkov
Machine Learning Methods for Automatic Image Colorization, G. Charpiat, I. Bezrukov, M. Hofmann, Y. Altun, and B. Scholkopf
Machine Learning for Digital Face Beautification, G. Dror
High-Quality Light Field Acquisition and Processing, C.-K. Liang and H.H. Chen
Dynamic View Synthesis with an Array of Cameras, R. Yang, H. Wang, and C. Zhang
Single Capture Image Fusion with Motion Consideration, J.E. Adams, Jr., A. Deever, J.F. Hamilton, Jr., M. Kumar, R. Palum, and B.H. Pillman
Lossless Compression of Bayer Color Filter Array Images. K.-H. Chung and Y.-H. Chan
Color Restoration and Enhancement in the Compressed Domain, J. Mukherjee and S.K. Mitra
Principal Component Analysis-Based Denoising of Color Filter Array Images, R. Lukac and L. Zhang
Regularization-Based Color Image Demosaicking, D. Menon and G. Calvagno
Super-Resolution Imaging, B.K. Gunturk
Image Deblurring Using Multi-Exposed Images, S.-W. Jung and S.-J. Ko
Color High Dynamic Range Imaging: Algorithms for Acquisition and Display, O. Pirinen, A. Foi, and A. Gotchev
High Dynamic Range Imaging for Dynamic Scenes, C. Loscos and K. Jacobs
Shadow Detection in Digital Images and Videos, C. Benedek and T. Sziranyi
Document Image Rectification Using Single-View or Two-View Camera Input, H. Il Koo and N. Ik Cho
Bilateral Filter: Theory and Applications, B.K. Gunturk
Painterly Rendering, G. Papari and N. Petkov
Machine Learning Methods for Automatic Image Colorization, G. Charpiat, I. Bezrukov, M. Hofmann, Y. Altun, and B. Scholkopf
Machine Learning for Digital Face Beautification, G. Dror
High-Quality Light Field Acquisition and Processing, C.-K. Liang and H.H. Chen
Dynamic View Synthesis with an Array of Cameras, R. Yang, H. Wang, and C. Zhang
Notă biografică
Dr. Rastislav Lukac is an accomplished digital imaging scientist with more than 10 years of advanced experience in conducting scholarly and applied research. In his professional career, he has held appointments at various leading organizations and research institutions, including the University of Toronto, Canada; the University of Amsterdam, Netherlands; the Aristotle University of Thessaloniki, Greece, and Epson Canada Ltd., Toronto. Since August 2009, he has been a senior digital imaging scientist ߝ image processing manager at Foveon, Inc./Sigma Corp., San Jose, California, USA. He has authored and contributed to numerous books and textbooks, and he has published more than 200 scholarly research papers in the areas of digital camera image processing, color image and video processing, multimedia security, and microarray image processing. He is also author of more than 25 patent-pending inventions in the areas of digital color imaging and pattern recognition, and he has been cited more than 650 times in peer-review journals covered by the Science Citation Index (SCI). Among his many accolades, he was the recipient of the 2003 North Atlantic Treaty Organization / National Sciences and Engineering Research Council of Canada (NATO/NSERC) Science Award, and he received the Most Cited Paper Award for the Journal of Visual Communication and Image Representation for the years 2005ߝ2007. He also authored the number one article in the ScienceDirect Top 25 Hottest Articles in Signal Processing for AprilߝJune 2008.