PERFORMANCE ANALYSIS OF HIGH EFFICIENT AND LOW POWER ARCHITECTURE FOR FUZZY BASED IMAGE FUSION

Abstract

Image fusion based on wavelet transform is the most commonly used image fusion method, which fuses the source images’ information in wavelet domain according to some fusion rules. But because of the uncertainties of the source images’ contributions to the fused image, how to design a good fusion rule to integrate as much information as possible into the fused image becomes the most important problem. This study proposed a image fusion algorithm based on wavelet transform and fuzzy reasoning. The edges in source images are detected using set of fuzzy rules. The hardware architecture for fuzzy based image fusion is proposed. This proposed hardware architecture reduces the hardware utilizations and best suitable for low power applications. The design possesses only two line memory buffers with very low computational complexity, thereby reducing the hardware cost and appropriate for several real-time applications. The proposed hardware architecture consumes 4179 gates and power consumption of 203.27 mW.