Fpga Implementation Of Satellite Image Fusion Using Wavelet Substitution Method

Image fusion is a process of merging the relevant information from a set of images into a single image. The goal of image fusion in remote sensing is to create new images that contain both low spatial resolution multispectral data (color information) and high spatial resolution panchromatic data (details).. The choice of appropriate wavelet filters for the design and implementation on FPGA, a detailed analysis has been carried out in MATLAB Simulink R2010b software using averaging, additive and substitutive fusion rules. In this paper substitutive rule using the Haar, Daubechies 3 (db3) and Cohen Daubechies Feauveau (CDF) 9/7 filters are used for image decomposition and reconstruction. CDF 9/7 is found to be the best filter and is chosen for FPGA implementation. Single level 2D-DWT based image fusion has been performed using substitutive method and then the hardware software co-simulation design has been synthesized in Xilinx ISE 13.1 and implemented on ML605 Virtex 6 FPGA kit. From the results, it is observed that the design consumes a total power of 4.349W and operates at a maximum frequency of 849.618MHz.