Implementation of dynamic-range enhancement and super-resolution algorithms for medical image processing

Two sophisticated algorithms aimed at `dynamic-range enhancement' and `super-resolution' are implemented dedicatedly for medical image processing. The first is intended for adaptive dynamic-range enhancement, originally developed as a means to enhance digital camera images captured under adverse conditions, such as contrejour and poor ambient lighting, which has been optimized for real-time processing of high-resolution video images, and has scored a design win in a commercial endo-scopic system. The second is targeted for single-frame superresolution, initially developed as a scaler for entertainment consoles and HDTV, which is now under evaluation as a means to provide digital zoom capabilities to medical imaging systems. FPGA implementation results of these procedures are also shown to demonstrate that the devised algorithms can be efficiently put to practical use in medical image processing and is capable of processing high-resolution video images in real-time.