Image Fusion Method Based on Fuzzy Entropy and Wavelet Transform

In the view of this situation that the image is possessed of fuzzy property and uncertainty, according to the fuzzy theory, a fusion method for highlighting the image details and eliminating or reducing the image fuzzy property is proposed. Under the wavelet decomposition frame, for the low-frequency component which reflects the approximate content of image, adopts a fusion rule of local fuzzy entropy maximum, for the high-frequency component which reflects image details characteristic, adopts a fusion rule of regional brightness priority weighting. Finally, the fusion image is obtained through an inverse wavelet transform. Experimental results show that under the condition of eliminating or reducing the fuzzy information, this method reserves the detail texture characteristic of source images, improves the brightness contrast and clarity of image.