Image Fusion Technique and Genetic Algorithm a Review

Abstract

Image fusion is the technique in which two or more images of same scene are merged together such that the new image formed is suitable for better interpretation. Image fusion result into a fused image that continue to have the most useful information. This fused Image has the characteristics of each Input image. Various standard method used for image fusion produce good result spatially but cause spatial noise. To remove this distortion and enhance the quality of fused image, various fusion schemes have been proposed. In this paper, the authors focus on the fusion methods based on various standard techniques and compare it with wavelet transform used for image fusion . Wavelet transform is majorly used in the area of image fusion because it provides better results in temporal domain as well as spatial domain . Performance of any fusion technique is measured by Mean Standard Deviation, Entropy, Average Gradient, Peak Signal to Noise Ratio {PSNR] and Correlation Coefficients.