Image Fusion Algorithm for Impulse Noise Reduction

This paper introduces the concept of image fusion of noisy images for impulse noise reduction. Image fusion is the process of combining two or more images into a single image while retaining the important features of each image. Multiple image fusion is an important technique used in military, remote sensing and medical applications. This paper introduces an image fusion technique for impulse noise reduction, where the fused image will combine the uncorrupted pixels of the noisy images obtained from different sensors. A fidelity factor for fusion of denoised images is also proposed in this paper. Our technique is evaluated and tested with different standard images by finding the mutual information and PSNR value between the recovered and original images. As the simulation results demonstrate, this method is capable of producing better results compared to individually denoised and fused images. This method is algorithmically simple and can be used for combining any number of images and can be used in real time applications.