Freshly Printed - allow 10 days lead
Couldn't load pickup availability
Example-Based Super Resolution
This thorough introduction of example-based super resolution covers the most successful algorithmic approaches and theories with implementation insights
Jordi Salvador (Author)
9780128097038, Elsevier Science
Paperback, published 23 September 2016
162 pages
22.9 x 15.1 x 1.2 cm, 0.19 kg
Example-Based Super Resolution provides a thorough introduction and overview of example-based super resolution, covering the most successful algorithmic approaches and theories behind them with implementation insights. It also describes current challenges and explores future trends. Readers of this book will be able to understand the latest natural image patch statistical models and the performance limits of example-based super resolution algorithms, select the best state-of-the-art algorithmic alternative and tune it for specific use cases, and quickly put into practice implementations of the latest and most successful example-based super-resolution methods.
Chapter 1: Classic Multiframe Super Resolution Chapter 2: A Taxonomy of Example-Based Super Resolution Chapter 3: High-Frequency Transfer Chapter 4: Neighbor Embedding Chapter 5: Sparse Coding Chapter 6: Anchored Regression Chapter 7: Trees and Forests Chapter 8: Deep Learning Chapter 9: Conclusions
Subject Areas: Image processing [UYT]
