One of the fundamental challenges in the field of image processing and computer vision is image denoising, where the underlying goal is to estimate the original image by suppressing noise from a noise-contaminated version of the image. Image denoising plays an important role in a wide range of applications such as image restoration, visual tracking, image registration, image segmentation, and image classification for strong performance. The fast development of digital image processing leads to the growth of feature extraction of images which leads to the development of Image fusion. PCA and Discrete Wavelet Transform plays a vital role in image fusion since it minimizes structural distortions among the various others transforms. Now, after fusion basic problem in image processing is to suppress the noise in corrupted image by using image resolution enhancement and denoising using MDBUTMF filter for color images to suppress the noise and and get good color contrast.