A New Correlation Based Image Fusion Algorithm Using Discrete Wavelet Transform

Image fusion is the method of combining two or more images into a single image to obtain more appropriate information. The resulting fused image will be more informative than any of the input images. In this paper Correlation based approach for fusion of images gathered by different wireless sensors on the basis of Pearson’s correlation theory has been described. We present a comparative study of previously available and applied approaches for image fusion. Our method is based on calculating the intensities of the pixels of the image and its gray scale equivalent and then performs correlation for image fusion. This paper also describes the analytical techniques for evaluating the quality of image fusion by using various methods including Mean Square Error , Peak Signal-to (MSE) Noise Ratio , to estimate the quality and degree of (PSNR) information improvement of a fused image quantitatively.

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