VLSI-Based Medical Image Fusion Using Average Fusion Rule for Enhanced Diagnostic Visualization

Paper ID: EIJTEM_2025_12_4_28-40

Author's Name: Endravath Priyanka, D Satheesh

Volume: 12

Issue: 4

Year: 2025

Page No: 28-40

Abstract:

Medical image fusion plays a crucial role in enhancing the quality and information content of images, enabling better diagnosis and treatment planning. The medical image fusion approach not only improves image quality but also supports seamless integration into clinical practice, ultimately benefiting healthcare professionals and patients alike. Current state-of-the-art methods for medical image fusion often suffer from computational complexity and inefficiency, making them unsuitable for real-time healthcare applications. Additionally, some existing techniques may lead to information loss or introduce artifacts, reducing the diagnostic accuracy of the fused images. Moreover, these methods are not easily adaptable to VLSI environments, hindering practical implementation. This study proposes a VLSI-based approach to efficiently fuse medical images using the average fusion rule, aiming to overcome the limitations of existing methods and deliver high-quality fused images for enhanced medical analysis. The proposed design presents a dedicated VLSI architecture optimized for medical image fusion, ensuring real-time processing capabilities. By employing the average fusion rule, this work aims to preserve critical information from the input medical images while minimizing artifacts and computational overhead.

Keywords: Medical image fusion, average fusion rule, VLSI implementation, real-time processing, diagnostic accuracy, hardware optimization, artifact reduction, clinical integration, low-complexity design, embedded healthcare systems.

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