Comparative Analysis of Image Fusion Methods

Integration of more than one image in order to obtain a more accurate image which has all objects in focus is known as Image Fusion (IF). The images having sharpness give improved results than that of the blurry images. In most of the cases, it is really not possible to have a whole type of focused image in just one shot of the camera, as some of the parts appear to be of blurred form resulting from deep variations of scenes because of the focus quality of camera lenses. Image fusion is a potential tool in removing the above limitations. As through this, the resultant image is produced which preserves both spatial and spectral resolution. Various IF techniques such as pixel level, multi-scale methods have been used for the enhancement of an image which has been discussed in this paper. The comparative analysis has been done on various image fusion techniques. This paper discusses mainly the advantages and disadvantages of spatial and frequency domain methods.