VLSI Implementation Using Dwt for Image Compression and Image Fusion for Medical Application

Abstract

Image fusion is a data fusion technology, which keeps images as main research contents. It is techniques that integrate multi-images of the same scene from multiple image sensor data or integrate multi images of the same scene at different times from one image sensor. The fusion technique in medical images is useful for the resourceful disease diagnosis purpose. For medical diagnosis, Computed Tomography (CT) provides the best information on the denser tissue with less distortion. Magnetic Resonance Image (MRI) provides better information on soft tissue with more distortion. The image fusion algorithm based on Discrete Wavelet Transform which is faster developed was a multi-resolution analysis image fusion method in recent decades. Discrete Wavelet Transform has good time-frequency characteristics. The paper proposes that the method could extract useful information from source images to fused images so that clear images are obtained. In this paper, a hardware implementation of a image fusion system is proposed. Here using MATLAB we can convert images into pixel-format files and to observe simulation results. To implement this paper XPS & VB are needed. Using XPS, first select hardware & software components then by adding source and header files & converting it into bit streams and download into FPGA, to obtain a fused image. The input image can also be recovered by combining of fused image and the other input image.