PERFORMANCE OF WAVELET BASED MEDICAL IMAGE FUSION ON FPGA USING HIGH LEVEL LANGUAGE C
Abstract
In this paper presents the implementation of wavelet based medical image fusion on FPGA is performed using high level language C. The high- level instruction set of the image processor is based on the operation of image algebra like convolution, additive max-min, and multiplicative max-min. The above parameters are used to increase the speed. The FPGA based microprocessor is used to accelerate the extraction of texture features and high level C programming language is used for hardware design. This proposed hardware architecture reduces the hardware utilizations and best suitable for low power applications. The paper describes the programming interface of the user and outlines the approach for generating FPGA architectures dynamically for the image co-processor. It also presents sample implementation results (speed, area) for different neighborhood operations.