Enhanced image fusion using directional contrast rules in fuzzy transform domain.
In this paper a novel image fusion algorithm based on directional contrast in fuzzy transform (FTR) domain is proposed. Input images to be fused are first divided into several non-overlapping blocks. The components of these sub-blocks are fused using directional contrast based fuzzy fusion rule in FTR domain. The fused sub-blocks are then transformed into original size blocks using inverse-FTR. Further, these inverse transformed blocks are fused according to select maximum based fusion rule for reconstructing the final fused image. The proposed fusion algorithm is both visually and quantitatively compared with other standard and recent fusion algorithms. Experimental results demonstrate that the proposed method generates better results than the other methods.
Electronics and Communication Engineering Department, National Institute of Technology, Hamirpur, Himachal Pradesh India ; Faculty of Computers and Electrical Engineering, University of Science and Information Technology, Partizanska, Ohrid, 6000 Republic of Macedonia.
Amita
A
Nandal
Faculty of Electrical Engineering, Autonomous University of Zacatecas, Zacatecas, Mexico.
Hamurabi Gamboa
HG
Rosales
Directional contrast; Fuzzy transform; Image fusion; Quantitative fusion metrics