Image fusion method based on directional contrast and area-based standard deviation

A novel multi-resolution image fusion method based on maximum directional contrast and area-based standard deviation is presented. First the source images are performed by the multi-resolution wavelet decomposition, and the directional contrast and area-based standard deviation are defined. And then, the wavelet coefficients for the fused image can be obtained by means of the fusion rules based on maximum directional contrast and area-based standard deviation. Finally, the fused image is reconstructed by inverse wavelet transform. By this scheme, the contrast and details from each original image are emphasized and enhanced in the fused image. The experimental results show that the fusion algorithm is much effective.