Based on guided filter

a new multi-exposure image fusion algorithm which can improve edge characteristics is proposed. Firstly

preliminary fusion weights are obtained according to the contrast and saturation of the images; secondly

the content-aware factor is introduced to the guided filter algorithm; and lastly

the original fusion weights are modified in order to get the final fusion weights. Experimental results show that fusion images using this method can preserve edge sharpness better

increase resolution of the images extraordinarily and have more details especially in the transition regions. Compared with other algorithms

this method has better subjective visual fusion effects and objective performance indicators.