Image Enhancement using Hardware co-simulation for Biomedical Applications

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Digital image enhancement techniques are to improving the visual quality of images. Main objective of image enhancement is to process an image so that result is more suitable than original image for specific application. Image is one of the most fundamental and significant features. The correctness and reliability of its results affect directly the comprehension machine system made for objective world. The implementation of image enhancement algorithms on a field programmable gate array (FPGA) is having advantage of using large memory and embedded multipliers. FPGAs are providing a platform for processing real time algorithms on application-specific hardware with substantially higher performance than programmable digital signal processors (DSPs). This project focus on implementation issues of image enhancement algorithms like brightness control, contrast stretching, negative transformation, thresholding, filtering techniques on FPGA that have become a competitive alternative for high performance digital signal processing applications. This project will use System Generator tool and modular construction methods to build a image algorithm platform in MATLAB. By a brief analysis about display image and resource cons umption after achieving on Spartan-3E development board, we can see the image using System Generator for FPGA algorithm design superiority, have the vast application prospects