Example-Based Super Resolution provides a thorough introduction & overview of example-based super resolution covering the most successful algorithmic approaches & theories behind them with implementation insights It also describes current challenges & explores future trends Readers of this book will be able to understand the latest natural image patch statistical models & the performance limits of example-based super resolution algorithms select the best state-of-the-art algorithmic alternative & tune it for specific use cases & quickly put into practice implementations of the latest & most successful example-based super-resolution methods