BibTeX:

@article{IJIRSTV1I9054,
     title={Fusion Algorithms for Images based on Principal Component Analysis and Discrete Wavelet transform},
     author={Krupa Patel},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={9},
     pages={180--182},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I9054.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Extensive research has been done in the field of image fusion. Image fusion is formation of appropriate information from two or more images into a single fused image. As a consequence the final resultant image will carry more information as compared to the input images. Thus purpose of image fusion algorithm is to take redundant and complementary information from the source images and to generate an output image with better visual quality. This paper presents a review on some of the image fusion techniques like Principal component analysis (PCA) based fusion, Discrete wavelet transforms (DWT) and Curvelet transforms.

Image Fusion, Principal Component Analysis (PCA), Discrete Wavelet Transform (DWT)