Survey On Image Fusion Using Stationary Wavelet Transform and FuzzyLogic

Author(s):

R.Divya (PG Scholar) , Sri Vidya College of Engineering and Technology,Virudhunagar,Tamilnadu,India; Palraj.K(Assistant Professor), Srividya College of engineering and technology

Keywords:

Image Fusion, pixel level, Stationary wavelet Transform, fuzzy logic

Abstract:

The information extraction process of image, for example image taken from precise camera, is full of complexities and noises. As a result, cost spend on such processing like time and assets is high, particularly for large and complex amount of information. The fusion of images is the process of merging two or more images into a single image preserving significant features from each. The result of fused image is a single image which is highly appropriate for person and machine observation or further image-processing missions. In this paper, we are going to extract image from two or more images. The proposed fusion techniques are based on two process. one is Stationary Wavelet Transform(SWT) and the other one is Fuzzy logic. Stationary Wavelet Transform provides higher level of decomposition for fused image fusion. And Fuzzy logic allows the problems to be solved in linguistic terms. It can provide number of possible result.

Other Details:

Manuscript Id	:	IJSTEV1I5029
Published in	:	Volume : 1, Issue : 5
Publication Date	:	01/12/2014
Page(s)	:	20-24

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