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    High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (Hardback) By (author) Erik Reinhard, By (author) Wolfgang Heidrich, By (author) Paul Debevec, By (author) Sumanta Pattanaik, By (author) Greg Ward, By (author) Karol Myszkowski

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    DescriptionThis landmark book is the first to describe HDRI technology in its entirety and covers a wide-range of topics, from capture devices to tone reproduction and image-based lighting. The techniques described enable you to produce images that have a dynamic range much closer to that found in the real world, leading to an unparalleled visual experience. As both an introduction to the field and an authoritative technical reference, it is essential to anyone working with images, whether in computer graphics, film, video, photography, or lighting design. New material includes chapters on High Dynamic Range Video Encoding, High Dynamic Range Image Encoding, and High Dynammic Range Display Devices. It is written by the inventors and initial implementors of High Dynamic Range Imaging. It covers the basic concepts (including just enough about human vision to explain why HDR images are necessary), image capture, image encoding, file formats, display techniques, tone mapping for lower dynamic range display, and the use of HDR images and calculations in 3D rendering. The range and depth of coverage is good for the knowledgeable researcher as well as those who are just starting to learn about High Dynamic Range imaging.


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  • Full bibliographic data for High Dynamic Range Imaging

    Title
    High Dynamic Range Imaging
    Subtitle
    Acquisition, Display, and Image-Based Lighting
    Authors and contributors
    By (author) Erik Reinhard, By (author) Wolfgang Heidrich, By (author) Paul Debevec, By (author) Sumanta Pattanaik, By (author) Greg Ward, By (author) Karol Myszkowski
    Physical properties
    Format: Hardback
    Number of pages: 672
    Width: 191 mm
    Height: 236 mm
    Thickness: 46 mm
    Weight: 1,542 g
    Language
    English
    ISBN
    ISBN 13: 9780123749147
    ISBN 10: 012374914X
    Classifications

    B&T Book Type: NF
    BIC E4L: PHO
    Nielsen BookScan Product Class 3: T1.4
    B&T Modifier: Region of Publication: 01
    LC subject heading:
    BIC subject category V2: AJG
    LC subject heading:
    DC22: 771
    B&T Modifier: Academic Level: 02
    B&T General Subject: 229
    B&T Modifier: Text Format: 01
    LC subject heading:
    B&T Merchandise Category: COM
    BISAC V2.8: COM012000
    Warengruppen-Systematik des deutschen Buchhandels: 16350
    Ingram Subject Code: XX
    Abridged Dewey: 771
    LC subject heading: ,
    LC classification: TR594 .H54 2010
    LC subject heading: , , ,
    BIC subject category V2: UML
    Thema V1.0: AJT
    Edition
    2, Revised
    Edition statement
    2nd Revised edition
    Illustrations note
    Illustrations (chiefly col.)
    Publisher
    ELSEVIER SCIENCE & TECHNOLOGY
    Imprint name
    Morgan Kaufmann Publishers In
    Publication date
    01 July 2010
    Publication City/Country
    San Francisco
    Author Information
    Erik Reinhard is assistant professor at the University of Bristol and founder and editor-in-chief (with Heinrich B lthoff) of ACM Transactions on Applied Perception. He is interested in the interface between visual perception and computer graphics and also in high dynamic range image editing. His work in HDRI includes the SIGGRAPH 2005 Computer Animation Festival contribution Image-based Material Editing, as well as tone reproduction and color appearance algorithms. He holds a BSc and a TWAIO diploma in computer science from Delft University of Technology and a PhD in computer science from the University of Bristol, and was a post-doctoral researcher at the University of Utah. Wolfgang Heidrich is Associate Professor and Dolby Research Chair at the Department of Computer Science, University of British Columbia. Paul Debevec is a research assistant professor at the University of Southern California and the executive producer of graphics research at USC's Institute for Creative Technologies. Paul's PhD thesis (UC Berkeley, 1996) presented Fa ade, an image-based modeling and rendering system for creating photoreal architectural models from photographs. Using Fa ade, he led the creation of virtual cinematography of the Berkeley campus for his 1997 film The Campanile Movie whose techniques were used to create virtual backgrounds in the 1999 film The Matrix. Subsequently he pioneered techniques for illuminating computer-generated scenes with real-world lighting captured through high dynamic range photography, demonstrating new image-based lighting techniques in his films Rendering with Natural Light (1998), Fiat Lux (1999), and The Parthenon (2004). He has also led the design of HDR Shop, the first widely used high dynamic range image editing program. Most recently Paul has led the development of a series of Light Stage devices that allow objects, actors, and performances to be synthetically illuminated with novel lighting. This technique was used to create photoreal digital actors for the film Spider Man 2. Paul received the first ACM SIGGRAPH Significant New Researcher Award in 2001, was named one of the world's top "100 Young Innovators" by MIT's Technology Review in 2002, and was awarded a Lillian Gilbreth Lectureship from the National Academy of Engineering in 2005. Sumanta Pattanaik is an associate processor of computer science at the University of Central Florida, Orlando (UCF). His main area of research is realistic rendering where he has been active for over 15 years and has contributed significantly through a number of research publications. His current focus is developing real-time rendering algorithms and modeling natural environments. He is currently serving as the computer graphics category editor of ACM Computing Review. Sumanta received his MS degree in chemistry from Utkal University, India in 1978 and PhD degree in computer science from Birla Institute of Technology and Science in Pilani (BITS-Pilani), India in 1993. Prior to joining UCF he was a research associate at the Program of Computer Graphics at Cornell University, a post-doctoral researcher at the SIAMES program of IRISA/INRIA France, and a senior staff scientist at the National Center of Software Technology, India. Greg Ward is a pioneer in HDRI, having developed the first widely used HDR image file format in 1986 as part of the Radiance lighting simulation system. In 1998 he introduced the more advanced LogLuv TIFF encoding and more recently the backwards-compatible HDR extension to JPEG. He is also the author of the Mac OS X application Photosphere, which provides advanced HDR assembly and cataloging and is freely available from www.anyhere.com. Currently he is collaborating with Sunnybrook Technologies on their HDR display systems. Greg has worked as a part of the computer graphics research community for over 20 years, developing rendering algorithms, reflectance models and measurement systems, tone reproduction operators, image processing techniques, and photo printer calibration methods. His past employers include the Lawrence Berkeley National Laboratory, EPFL Switzerland, SGI, Shutterfly, and Exponent. He holds a bachelor's degree in physics from UC Berkeley and a master's degree in computer science from San Francisco State University. He is currently working as an independent consultant in Albany, California. Karol Myszkowski is a Senior Researcher in the Computer Graphics Group of the Max-Planck-Institut f r Informatik (Germany).
    Review quote
    "With the mainstream introduction of affordable LED HDTVs and computer monitors, the principles of high dynamic range imaging have gone from an academic research topic to essential knowledge. For anyone involved in software or hardware development for computer games and entertainment video, this second edition of High Dynamic Range Imaging offers everything you need and more. Highly recommended." -Ian Ashdown, President, byHeart Consultants Limited
    Table of contents
    Introduction; Light and Color; HDR Image Encodings; HDR Video Encodings; HDR Image and Video Capture; Display Devices; The Human Visual System and HDR Tone Mapping; Spatial Tone Reproduction; Frequency Domain and Gradient Domain Tone Reproduction; Inverse Tone Reproduction; Visible Difference Predictors; Image-Based Lighting.