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Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


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Image statistics in visual computing / Tania Pouli, Douglas Cunningham and Erik Reinhard.

By: Contributor(s): Material type: TextTextPublication details: Boca Raton : CRC Press, c2014.Description: xviii, 354 p. : ill. (some color) ; 24 cmISBN:
  • 9781568817255 (hardback : alk. paper)
Subject(s): DDC classification:
  • 23 P874 006.37
Contents:
I BACKGROUND 1. Introduction 2. The Human Visual System 3. Image Collection and Calibration II. IMAGE STATISTICS 4. First Order Statistics 5. Gradients, Edges, and Contrast 6. Fourier Analysis 7. Dimensionality Reduction 8. Wavelet Analysis 9. Markov Random Fields III. BEYOND TWO DIMENSIONS 10. Color T 11. Depth Statistics 12. Time and Motion A: Basic Definitions Bibliography Index.
Summary: "The statistics of natural images have attracted the attention of researchers in a variety of fields as a means to better understand the human visual system and its processes. A number of algorithms in computer graphics and vision and image processing take advantage of such statistical findings to create visually more plausible results. This book explores the state of the art in image statistics and discusses existing and potential applications within computer graphics and related areas"--
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"An A K Peters book."

Includes bibliographical references (pages 287-339) and index.

I BACKGROUND
1. Introduction
2. The Human Visual System
3. Image Collection and Calibration

II. IMAGE STATISTICS
4. First Order Statistics
5. Gradients, Edges, and Contrast
6. Fourier Analysis
7. Dimensionality Reduction
8. Wavelet Analysis
9. Markov Random Fields

III. BEYOND TWO DIMENSIONS
10. Color T
11. Depth Statistics
12. Time and Motion
A: Basic Definitions
Bibliography
Index.

"The statistics of natural images have attracted the attention of researchers in a variety of fields as a means to better understand the human visual system and its processes. A number of algorithms in computer graphics and vision and image processing take advantage of such statistical findings to create visually more plausible results. This book explores the state of the art in image statistics and discusses existing and potential applications within computer graphics and related areas"--

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