BibTeX:

@article{IJIRSTV1I7033,
     title={An Introduction of Image Fusion Techniques},
     author={Sejal M. Baraiya and Prof.Lokesh P. Gagnani},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={7},
     pages={86--89},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I7033.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Image fusion is the process in which two more images are combined into single image which retain all the important features of original images. With fused image we will be get more information and complete image than any of the input images. This paper presents two approaches for the fusion, namely spatial fusion & transforms fusion and there are techniques such as principal component analysis (PCA) which is spatial domain technique and discrete wavelet transform (DWT), stationary wavelet transform (SWT) & discrete cosine transform (DCT) which are transform domain techniques. So, in this paper presents comparison of PCA, DWT & DCT with SWT. Then with Morphological processing. We get comparison with parameter like, spatial frequency (SF), standard derivation (SD), PSNR, NCC, etc. this type of parameters are using for getting high resolution and good quality.

SWT, PCA, DWT, DCT & Morphological Processing