Image statistics in visual computing

Front Cover......Page 1 Contents......Page 8 Foreword......Page 14 Preface......Page 16 Part I: Background......Page 20 Chapter 1: Introduction......Page 22 Chapter 2: The Human Visual System......Page 34 Chapter 3: Image Collection and Calibration......Page 60 Part II: Image Statistics......Page 88 Chapter 4: First-Order Statistics......Page 90 Chapter 5: Gradients, Edges, and Contrast......Page 108 Chapter 6: Fourier Analysis......Page 138 Chapter 7: Dimensionality Reduction......Page 172 Chapter 8: Wavelet Analysis......Page 194 Chapter 9: Markov Random Fields......Page 226 Part III: Beyond Two Dimensions......Page 244 Chapter 10: Color......Page 246 Chapter 11: Depth Statistics......Page 276 Chapter 12: Time and Motion......Page 288 Appendix A: Basic Definitions......Page 304 Bibliography......Page 306 Back Cover......Page 360 "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"-- Provided by publisher