Multifocus Image Fusion Using Cloud Model

This paper proposes a multifocus image fusion algorithm based on cloud model. First, each source images are divided into overlapping image blocks of size (2N+1) × (2N+1) and then the mean and entropy of every image pixels over this neighborhood window was calculated and compared in Cloud domain. The pixel with higher magnitude of the calculated image features was selected to form the fused image. The results of multifocus image fusion using this algorithm hold favorable consistency in terms of ischolar_main mean square error, peak signal to noise ratio and quality index for three pairs of test images and confirm the effectiveness of the proposed algorithm.