Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Amsterdam, [Netherlands] :Academic Press,
    UID:
    edocfu_9960074176202883
    Format: 1 online resource (631 p.)
    Edition: 1st edition
    ISBN: 0-12-803039-9
    Content: At the time of rapid technological progress and uptake of High Dynamic Range (HDR) video content in numerous sectors, this book provides an overview of the key supporting technologies, discusses the effectiveness of various techniques, reviews the initial standardization efforts and explores new research directions in all aspects involved in HDR video systems. Topics addressed include content acquisition and production, tone mapping and inverse tone mapping operators, coding, quality of experience, and display technologies. This book also explores a number of applications using HDR video technologies in the automotive industry, medical imaging, spacecraft imaging, driving simulation and watermarking. By covering general to advanced topics, along with a broad and deep analysis, this book is suitable for both the researcher new or familiar to the area. With this book the reader will: Gain a broad understanding of all the elements in the HDR video processing chain Learn the most recent results of ongoing research Understand the challenges and perspectives for HDR video technologies Covers a broad range of topics encompassing the whole processing chain in HDR video systems, from acquisition to display Provides a comprehensive overview of this fast emerging topic Presents upcoming applications taking advantages of HDR
    Note: Includes index. , Front Cover; High Dynamic Range Video: From Acquisition to Display and Applications; Copyright; Contents; Contributors; Editor Biographies; Preface; Acknowledgments; Chapter 1: The Fundamental basis of HDR: Comparametric Equations; 1.1 Introduction to High Dynamic Range Imaging; 1.1.1 The Fundamental Concept of HDR Sensing and Metasensing; 1.1.2 The Fundamental Principle of HDR: Dynamic Range and Dynamage Range; 1.1.3 HDR Imaging Techniques; 1.1.4 HDR From Multiple Exposures; 1.2 Historical Motivation for HDR Imaging; 1.3 Theory of HDR Imaging , 1.3.1 The Wyckoff Principle and the Range of Light1.3.2 What's Good for the Domain Is Good for the Range; 1.3.3 Extending Dynamic Range and Improvement of Range Resolution by Combining Differently Exposed Pictures of the Same S ...; 1.3.4 The Photoquantity, q; 1.3.5 The Camera as an Array of Light Meters; 1.3.6 The Accidentally Discovered Compander; 1.3.7 Why Stockham Was Wrong; 1.3.8 The Value of Doing the Exact Opposite of What Stockham Advocated; 1.3.9 Using Differently Exposed Pictures of the Same Subject Matter to Get a Better Estimate of q , 1.3.10 Exposure Interpolation and Extrapolation1.4 Comparametric Image Processing: Comparing Differently Exposed Images of the Same Subject Matter; 1.4.1 Misconceptions About Gamma Correction; 1.4.2 Comparametric Plots and Comparametric Equations; 1.4.3 Zeta Correction of Images; 1.4.4 The Affine Comparametric Equation and Affine Correction of Images; 1.4.5 The Preferred Correction of Images; 1.4.6 Some Solutions to Some Comparametric Equations That Are Particularly Illustrative or Useful; 1.4.7 Properties of Comparametric Equations; 1.5 Practical Implementations , 1.5.1 Comparing Two Images That Differ Only in Exposure1.5.2 Joint Histograms and Comparagrams; 1.5.3 Comparametric Regression and the Joint Histogram; 1.5.4 Comparametric Regression to a Straight Line; 1.5.5 Comparametric Regression to the Preferred Model; 1.6 Tone Mapping in HDR Systems; 1.6.1 An Extreme Example With Spatiotonal Processing of Photoquantities; 1.7 Analytical Solution of Comparametric Equations; 1.7.1 Overview; 1.7.2 Formal Solution by Scaling Operator; 1.7.3 Solution by Ordinary Differential Equation; 1.8 Compositing as Bayesian Joint Estimation , Pairwise estimationAlternative graph topology; Constructing the CCRF; Incremental updates; 1.8.1 Example Joint Estimator; 1.8.1.1 Bayesian probabilistic model for the CCRF; 1.8.2 Discussion Regarding Compositing via the CCRF; 1.8.3 Review of Analytical Comparametric Equations; 1.9 Efficient Implementation of HDR Reconstruction Via CCRF Compression; Quadtree representation; Reducing the quadtree; Error weighting and tree depth criteria; Corner value access; 1.9.1 Implementation; 1.9.1.1 Addressing circuit; 1.9.1.2 Interpolation circuit; 1.9.2 Compression Performance , 1.9.2.1 Hardware resource usage
    Additional Edition: ISBN 0-08-100412-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages