Efficient predictive algorithms for image compression

This book discusses efficient prediction techniques for the current state-of-the-art High Efficiency Video Coding (HEVC) standard, focusing on the compression of a wide range of video signals, such as 3D video, Light Fields and natural images. The authors begin with a review of the state-of-the-art...

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Bibliographic Details
Main Authors Lucas, Luís Filipe Rosário (Author), Rodrigues, Nuno Miguel Morais (Author), Pagliari, Carla Liberal (Author), Da Silva, Eduardo A. B. 1963- (Author), Faira, Sérgio Manuel Maciel de (Author)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, 2017.
Subjects
Online AccessFull text
ISBN9783319511801
9783319511795
Physical Description1 online resource (xix, 169 pages) : illustrations (some color)

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Table of Contents:
  • List of Figures; List of Tables; Acronyms; 1 Introduction; 1.1 Motivation; 1.2 Objectives and Contributions of the Book; 1.3 Outline of the Book; 2 Prediction Techniques for Image and Video Coding; 2.1 Digital Video Representation; 2.2 Image Prediction Overview; 2.3 State-of-the-Art Prediction Methods; 2.3.1 Intra-Frame Prediction; 2.3.1.1 Directional Prediction Modes; 2.3.1.2 Planar and DC Prediction Modes; 2.3.1.3 Sample Smoothing; 2.3.1.4 Prediction Mode Coding; 2.3.1.5 Chroma Intra Prediction; 2.3.2 Inter-Frame Prediction.
  • 2.3.2.1 Motion Compensation Using Block-Matching Algorithm2.3.2.2 Merge Mode; 2.3.2.3 Motion Vector Prediction; 2.4 Least-Squares Prediction Methods; 2.4.1 Linear Prediction of Images and Video Using LSP; 2.4.2 Context-Based Adaptive LSP; 2.4.3 Block-Based LSP; 2.4.4 Spatio-Temporal LSP; 2.5 Sparse Representation for Image Prediction; 2.5.1 Sparse Prediction Problem Formulation; 2.5.2 Matching Pursuit Methods; 2.5.2.1 Orthogonal Matching Pursuit; 2.5.3 Template Matching Algorithm; 2.5.4 Neighbour Embedding Methods; 2.5.4.1 Image Prediction Based on LLE; 2.6 Conclusions.
  • 3 Image and Video Coding Standards3.1 Hybrid Video Compression; 3.2 Compression of 2D Video; 3.2.1 H.265/HEVC Standard; 3.2.1.1 HEVC Coding Structures; 3.2.1.2 Intra-Frame Prediction; 3.2.1.3 Inter-Frame Prediction; 3.2.1.4 Transform and Quantisation; 3.2.1.5 Entropy Coding; 3.2.1.6 In-Loop Filters; 3.2.1.7 HEVC Screen Content Coding Extensions; 3.2.2 Experimental Results; 3.3 Compression of 3D Video; 3.3.1 3D Video Systems; 3.3.1.1 Stereo Video; 3.3.1.2 Multiview Video; 3.3.1.3 Multiview Video+Depth; 3.3.1.4 Holoscopic Video; 3.3.2 3D Video Coding Standards.
  • 3.3.2.1 Dependent View Coding Tools3.3.2.2 Depth Map Coding Tools; 3.3.3 Experimental Results; 3.4 Conclusions; 4 Compression of Depth Maps Using Predictive Coding; 4.1 Overview of Intra Techniques for Depth Map Coding; 4.1.1 Directional Intra Prediction; 4.1.2 Depth Modelling Modes; 4.1.3 Depth Lookup Table; 4.1.4 Segment-Wise DC Coding; 4.1.5 Single Depth Intra Mode; 4.1.6 View Synthesis Optimisation; 4.2 Overview of Predictive Depth Coding; 4.3 Coding Techniques of PDC Algorithm; 4.3.1 Flexible Block Partitioning; 4.3.2 Directional Intra Prediction Framework.
  • 4.3.3 Constrained Depth Modelling Mode4.3.4 Residual Signal Coding; 4.3.5 Bitstream Syntax and Context Modelling; 4.4 PDC Encoder Control; 4.5 Experimental Results; 4.5.1 Evaluation of PDC Algorithm for Intra Coding; 4.5.2 Evaluation of PDC Algorithm Using VSO Metric; 4.5.3 Evaluation of PDC Algorithm Combined with 3D-HEVC Standard; 4.6 Conclusions; 5 Sparse Representation Methods for Image Prediction; 5.1 3D Holoscopic Image Coding Using LLE-Based Prediction; 5.1.1 Proposed HEVC Encoder Using LLE-Based Prediction; 5.1.2 Experimental Results; 5.2 The Sparse-LSP Method for Intra Prediction.