抽象的な

Comparative Study of Image Fusion Techniques based on Spatial and Transform Domain

Sweta K. Shah, Prof. D.U. Shah

Image Fusion is the process in which two or more images are combined into single image which can retain all important features of all original image. Fused image will be more informative and complete than any of the input images. This paper presents two approaches to image fusion, namely Spatial Fusion and Transform Fusion . This paper describes Techniques such as Principal Component Analysis which is spatial domain technique and Discrete Wavelet Transform , Stationary Wavelet Transform which are Transform domain techniques. Performance metrics without reference image are implemented to evaluate the performance of image fusion algorithm. Experimental results shows that image fusion method based on Stationary Wavelet Transform is remarkably better than Principal Component Analysis and Discrete Wavelet Transform.