Dynamic Scene Multi-Exposure Image Fusion
Uzmanaz A. Shaikh, Vivek J. Vishwakarma, Shubham S. Mahale · IETE Journal of Education · 2018
Exposure fusion is performed on multi-exposure image sequence to obtain the well-exposed image, which contains the details corresponding to the entire dynamic range. However, while capturing multi-exposure image sequence new objects can appear/disappear from the image sequence, thus resulting in ghost effect in the fused image. Elimination of such ghost effect at less computational cost is an important consideration to generate HDR images. In this paper, a simple yet efficient method for multi-exposure image fusion of dynamic scene without ghost effect is proposed. The proposed method is divided into four steps, viz., remapping of images (pre-processing), weight map generation, exposure fusion and color correction with contrast enhancement (post-processing). The experimental result shows that the resultant images produced with the help of the proposed method are free from ghost effect and have good color and contrast. Also, the important thing is that the computational complexity to reach the desired result is very less.