Design and FPGA implementation of Real-Time Hardware Co-Simulation for image enhancement in biomedical applications

This paper presents the design and the implementation of real-time hardware enhancement digital image processing techniques for biomedical applications in a spatial domain on FPGA. It explains various enhancement techniques such as inverting image operation, brightness control, segmentation (threshold) and contrast stretching. A comparative study of all these techniques is carried out to find the best technique to enhance a biomedical image on FPGA. These techniques are applied to the hand image with veins using Open Access Biomedical Image Search Engine. The result shows the brightness controlling addition technique provides better enhancement of a biomedical image. The purpose of this work is to achieve a real-time hardware implementation with higher execution in both size and speed. It focuses on the implementation of an efficient architecture by using the fewest possible system generator blocks for DSP tool, which integrates itself with the high-level graphical interface of MATLAB Simulink environment and relieves the user from the use of the textual HDL programming. Performances of efficient architecture are implemented on FPGA Virtex5 (XUPV5-LX110T).