Comparison of DCT, DWT Haar, DWT Daub and Blocking Algorithm for Image Fusion

ABSTRACT Image fusion is a process to combine two or more images so that resulting fused image becomes more informative than input images. Fusion process provides the spectral and spatial information of image. The main problem occurs in image fusion is computational time when high resolution images are fused. The paper implements Blocking Algorithm that is based on wavelet transform in which transform is applied after forming the image into different blocks. It also draw comparison with DCT and DWT. By using the threshold value wavelet transform is applied to require block. The transformed blocks are fused by using different fusion technique like averaging method, maximum or minimum pixel replacement. By applying inverse of wavelet transform fused image is constructed which is more informative than the input images. The quality of fused image is compared with the original image based on different parameter like MSE and PSNR.Blocking algorithm reduces the computational time by 10 times to the existence method. With this algorithm computational time considerably reduce as compared to DCT and DWT.