Image Fusion Based on Pixel Significance using Cross Wavelet Coefficient in MATLAB

New innovations in the era of science and technical knowledge play a great role in the improvement of digital image processing. Its most significant utilization is in “image fusion�. It is a method of merging relevant info from more than one pictures into a solitary picture which has all the vital information and characteristic of each input image. The standard fusion technique usually creates spectral deformation. It is resolved by using various multi-scale transform based fusion schemes. The objective of this work is to study the enhancement and sharpening hazy signals while allowing some additive noise into the process. The respected result will be evaluated in a way that we can get a better output by the concept of enhancement and image fusion based on pixel significance using a cross wavelet coefficient. This research helps us to enhance the excellence of the Steganography image and provide safety to the secret-image by RSA encryption with a bit shift method the quality of the image is analyzed on the basis of PSNR and MSE values. The quality of the image must not be distorted and give a desirable result as compare to the various image fusion techniques.