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The aim of Image fusion is to combine the information from number of images of the same scene from different images with focus on different objects. The result of image is more informative and of better quality often the entropy content of the resultant image is poor due to improper local fusing. In this paper a comparative study and modified spatial domain approach is presented by fixing the contrast values of pixel in between the Average -minimum, and Average-Maximum to get better fusion capabilities. Experimental results demonstrates that the few of the proposed techniques outperform the existing techniques in terms of SNR and PSNR. [ABSTRACT FROM AUTHOR]

The objective of Image fusion is to combine the information from number of images of the same scene from different sensors or the images with focus on different objects. The result of image fusion is an image which is more informative and of better quality. In this paper a detailed survey of Select Maximum /Minimum and principal component analysis for spatial domain image fusion techniques is done. On the basis of the survey an improved spatial domain fusion technique is proposed. The proposed spatial domain technique output performs as the state of the art spatial domain techniques. [ABSTRACT FROM AUTHOR]