Multi-exposure image fusion based on recursive filter

Abstract

Multi-exposure image fusion technology is to fuse images of the same scene with different exposures into a high-quality image that contains more scene information. This paper proposes a multi-exposure image fusion method based on a recursive filter. The method first calculates three characteristic indicators of the multi-exposure image sequence: image contrast, entropy, and exposure information. And use three characteristic indicators to estimate the initial image fusion. In order to obtain a more accurate weight map for image fusion, a recursive filter is used to refine the weight map. Finally, the weighted sum method is used to construct the fused image. The experimental results show that the fusion results obtained by the algorithm in this paper have high image clarity, better subjective visual fusion effects and objective performance indicators, and maintain a high computational efficiency.