Noise Resistant Fusion for Multi-Exposure Sensors

A noise resistant image fusion scheme for multi-exposure sensors using color dissimilarity (for motion detection and removal), median and noise maps (to refine weights for noise removal) is proposed. A well-exposed image is obtained as a result of weighted average of multi-exposure source images. Higher valued weights are assigned to pixels containing low values of noises, high values of color dissimilarity, and median maps. Quantitative and qualitative comparison reveals superiority of the proposed scheme as compared with the current state-of-the-art multi-exposure fusion schemes.