Reconfigurable computing for imaging systems

Summary form only given. This talk will address different software and hardware issues related to the design and implementation of imaging systems using reconfigurable computing. A range of algorithms, including discrete wavelet transform (DWT), Ridgelet and Curvelet transforms will be presented for imaging applications such as medical image denoising, segmentation and compression and biometrics. The implementation process of these algorithms on Field Programmable Gate Arrays (FPGAs) will be described. In addition, the talk will review the latest reconfigurable hardware technologies and development methods for real-time embedded systems, and will conclude with comprehensive case studies demonstrating the deployment of low power reconfigurable architectures for algorithms acceleration and performance evaluation methods for reconfigurable imaging systems.