A Comparison of Spatial & Frequency Domain Fusion Methods

Ashishgoud Purushotham, G. Usha Rani, Samiha Naik

Abstract: The main application of image fusion is merging the gray level high resolution image and results in a new image that retains the most desirable information and characteristics of each source image. Since the idea of image fusion proposed, numbers of algorithms have been developed. It has been found that standard fusion methods usually introduce distortion. To overcome this problem multi scale transform based fusion methods have been proposed. This paper mainly concentrate on the comparison of different spatial and frequency domain image fusion methods based on performance parameters and gives the results for different algorithms in order to find out a better algorithm in most evaluation indexes.

Keywords: PCA, Wavelet transform, Pixel level fusion, evaluation parameters

How to Cite?: Ashishgoud Purushotham, G. Usha Rani, Samiha Naik, "A Comparison of Spatial & Frequency Domain Fusion Methods", Volume 4 Issue 4, April 2015, International Journal of Science and Research (IJSR), Pages: 2529-2533, https://www.ijsr.net/getabstract.php?paperid=SUB153670, DOI: https://dx.doi.org/10.21275/SUB153670