Enhancing medical imaging: Leveraging discrete wavelet transform and its variants for advanced image fusion

Abstract

Medical image fusion, or the technique of combining data from many medical images to create a single fused image, is crucial to modern therapeutic and diagnostic procedures. The Discrete Wavelet Transform (DWT) has emerged as a powerful tool for medical image fusion due to its ability to efficiently extract both global and local information from medical images. This paper provides an overview of recent advancements in DWT-based medical image fusion techniques. The paper reviews the fundamentals of DWT-based fusion and its variants, examines several fusion methods, and emphasizes applications in imaging modalities such as SPECT and MRI. This paper focuses on challenges and future directions for DWT-based medical image fusion. The suggested method improvises in performance measures by providing constants for the scale and orientation parameters.