We propose a method for multi-exposure image fusion based on information-theoretic channel. In the fusion scheme, conditional entropy, as an information measurement of each pixel in one image to the other image, is calculated through an information channel built between two source images, and then weight maps of the source images are generated. Based on the pyramid scheme, images at every scale are fused by weight maps, and a final fused image is inversely reconstructed.