PERFORMANCE ANALYSIS FOR COMPARISON OF IMAGE FUSION USING TRANSFORM BASED FUSION TECHNIQUES ON LOCALIZED BLURRED IMAGES

There are many image fusion methods that can be used to produce high-resolution mutli-spectral images from a high-resolution panchromatic image and low-resolution multispectral images. This paper presents a comparative study of various image fusion techniques. There are various methods of image fusion. They might be based on the various transforms i.e. discrete cosine transform, discrete wavelet transform, complex wavelet transform. Further the different strategies can be followed to combine the elements of two images. The different rules for the fusion of 2 elements of images are: averaging, maximum coefficient selection, maximum absolute coefficient selection, maximum energy coefficient selection etc. In this paper we have implemented all these methods and the results of different techniques are compared on the basis of visual perception and parameters named Mutual Information and PSNR, Quality index, RMSE etc.