MSEF-ImgSeg: An Intelligent Algorithm for Multi Scale Exposure Fusion Using Image Segmentation and GGIF

Multi-scale exposure fusion is a powerful approach to fuse variously low dynamic range images into a high quality image. Fine and attractive information of source images is added in the resultant image. It may yield better fusion result than the images fused by single scale exposure fusion. In multi-scale exposure fusion possibility of halo artifact can be produced and the details in darkest and brightest areas are normally not retained in the final fused image. Based on image segmentation and edge preserving filtration technique a novel algorithm is proposed in this paper for multi-scale exposure images. Taking advantage of super pixel (image segmentation) along with edge preserving technique, details in the darkest and brightest regions are well protected which removes the halo artifacts produced in the fused image. The outcome of experiments proved that proposed algorithm provides better results than other state of the art algorithms used for image fusion.