Abstract:
Image fusion is defined as the process of combining two or more different images into a new single image retaining important features from each image with extended information content. The result of image fusion is a new image which is more suitable for human and machine perception or further image processing tasks such as segmentation, feature extraction and object recognition. This paper presents review on some of the image fusion techniques i.e. simple average, simple maximum, PCA, DCT, DWT. Comparative study of all these techniques concludes that DWT is better approach.

Keywords: Image Fusion, Principal Component Analysis, Discrete Cosine Transform, Discrete Wavelet Transform