A Multi-exposure Images Fusion Approach for Very Large Dynamic Range Scenes
Chunmeng Wang, Changhe Tu · International Journal of Signal Processing Image Processing and Pattern Recognition · 2014
The exposure fusion technique is very useful for directly fusing multi-exposure images into a high quality image, without the physically based high dynamic range (HDR) production step.In this paper, we present an improved method for multi-exposure images fusion using multi-resolution Laplacian pyramid weighted blending.We propose a Weight Modification Factor (WMF) to modify the original weight map for each image guided by contrast, saturation and well-exposedness of each pixel in the image, and to enhance the weight of the informative pixels in ultra-bright or ultra-dark areas.Compared with previous methods, our approach preserves more useful details for scenes with very large dynamic range and achieves no artifacts.Several objective quality metrics prove the advantages of our method.