Enhancement of Fusion using Adaptive Fuzzy Logic on Multisensor Images

Image enhancement means to enrich the perception of images for human viewers. Image fusion is performed on many schemes. DWT is the most generally used image fusion method, which fuses the source pictures or images in wavelet space as maintained by some fusion rules. But, because of the uncertainties of the source images contributions to the fused image, to intend a good fusion rule to fit in however much data as could reasonably be expected into the fused picture turns into the most vital issue. On the other hand, AFL is the most ideal approach to determine uncertain issues, a new image fusion technique based on DWT and adaptive fuzzy logic is introduced in this paper. Before doing discrete wavelet transform to source images, it computes the weight of each source images coefficients through AFL and then fuses the coefficients through weighted averaging with the processed weights to acquire a combined picture. By using the Mean Square Error (MSE) as criterions, simulation results would demonstrate that the new method is more effective and strong than the conventional fusion methods based on wavelet transform.