Subband Architecture Based Exposure Fusion

In this paper, we present a novel detail-preserving fusion approach from multiple exposure images using sub band architecture. Given a sequence of different exposures, the Quadrature Mirror Filters (QMFs) based sub band architecture is first employed to decompose the original sequence into different frequency sub bands. After that, the importance weight maps are calculated according to the image appearance measurements, such as exposure, contrast and saturation. In order to remove the nonlinear distortion introduced by the sub band decomposition stage, we compute the gain control maps and modify these sub bands based on the calculated gain maps. Finally, the coefficients of sub bands are blended into a high-quality detail-preserving fusion image. Experimental results demonstrate that the proposed approach successfully creates a visually pleasing exposure fusion image.