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IJASER publishes high-quality, original research papers, brief reports, and critical reviews in all theoretical, technological, and interdisciplinary studies that make up the fields of advanced science and engineering and its applications.
Medical image fusion refers to the integration of multiple imaging modalities into a single composite image, providing more accurate and reliable information for diagnosis and treatment planning. This paper presents an FPGA-based implementation of a medical image fusion system using the Spartan 3 FPGA platform. The proposed method utilizes a multi-resolution image fusion technique, and the system achieves real-time performance with low power consumption, making it suitable for practical applications in medical environments. The system is evaluated using images from different medical modalities, including CT (Computed Tomography) and MRI (Magnetic Resonance Imaging), to demonstrate its effectiveness and performance.Image fusion is a data fusion technology which keeps images as main research contents. It refers to the 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.. Wavelet Transform has good time-frequency characteristics. It was applied successfully in image processing field. Nevertheless, its excellent characteristic in one-dimension can’t be extended to two dimensions or multi-dimension simply. Separable wavelet which was spanning by one-dimensional wavelet has limited directivity. The experiments show that the method could extract useful information from source images to fused images so that clear images are obtained.