Image Fusion Using Hybrid Method with Singular Value Decomposition and Wavelet Transform

In this paper, we have implemented singular value decomposition to effectively update the decomposition, including the basis images. We will use two dimensional discrete wavelet transform (2D-DWT) and singular value decomposition (SVD). Hybrid method with SVD and DWT will help us to store the images with less storage requirements and will keep the level of the error that must be acceptable in an application. The main tools that we use here are SVD and DWT. It is already known that singular value matrix obtained by SVD contains the illumination information. So we will combine this matrix for two different images. Any changes made to this matrix will not affect the other attributes of the image. The DWT will be used to divide the image into subbands. As the edges will be concentrated on LH, HL and HH sun-bands so the effect of fusion will be smoothened by this