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Performance evaluation for image fusion technique in medical images using spatial and transform method

Image fusion is the process of combining two or more different images into a new single image, it reduce uncertainty and redundancy in the output while maximizing relevant information from two or more images of a scene into a single composite image that is more informative. This paper presents two basic fusion domains, namely spatial domain and transform domain. Principal component analysis (PCA) which is spatial domain technique and discrete cosine transform (DCT), discrete wavelet transform (DWT), stationary wavelet transform (SWT), non-sub sampled contourlet transform (NSCT), and complex contourlet transform (CCT) which are transform domain techniques. Performance metrics are implemented to evaluate and validate the performance of image fusion technique. Experimental results suggest that the image fusion method based on complex contourlet transform (CCT) is better than other methods.