Abstract: In the view of this situation that in the image fusion process of the traditional separable wavelet transform,there arc problems of lost part edges and blurred texture information, a fusion algorithm that highlights image details and reduces the image blurring was proposed. Under the non-separable wavelet decomposed frame,a fusion rule of local blurred entropy maximum was used for the low-frequency component which reflects approximate content, and a fusion rule of region brightness details priority weighted was used for the high-frequency component which reflects features and details of image. Finally, the fusion image was reconstructed through an inverse transform of non-separable wavelet.Experimental results show that under the condition of reservation of source image information, this algorithm improves the clarity of fused image, enhances details information and brightness contrast.

Key words: Separable wavelet transform, Non-separable wavelet transform, Fuzzy entropy, Brightness contrast, Image fusion