Generalized Random Walks for Fusion of Multi-Exposure Images


Rui Shen, Irene Cheng, Jianbo Shi, and Anup Basu


Abstract

A single captured image of a real-world scene is usually insufficient to reveal all the details due to under- or over-exposed regions. To solve this problem, images of the same scene can be first captured under different exposure settings and then combined into a single image using image fusion techniques. In this paper, we propose a novel probabilistic model-based fusion technique for multi-exposure images. Unlike previous multi-exposure fusion methods, our method aims to achieve an optimal balance between two quality measures, i.e., local contrast and color consistency, while combining the scene details revealed under different exposures. A generalized random walks framework is proposed to calculate a globally optimal solution subject to the two quality measures by formulating the fusion problem as probability estimation. Experiments demonstrate that our algorithm generates high-quality images at low computational cost. Comparisons with a number of other techniques show that our method generates better results in most cases.

Software Download

The Matlab executable can be downloaded from HERE. Please email me for the password to unzip the package.

NOTE: This executable is provided for research purposes only. It comes with no warranty or guarantee of any kind. If you use this executable, please cite the following paper.

Rui Shen, Irene Cheng, Jianbo Shi, and Anup Basu. Generalized Random Walks for Fusion of Multi-Exposure Images. IEEE Transactions on Image Processing, vol. 20, no. 12, pages 3634-3646, 2011. [Probabilistic Model Page][Image Fusion Page]

Results

Following are the fusion results using the proposed fusion algorithm on three source sequences: Chairs, Belgium House, and House.

Chairs

Source sequence (courtesy of Shree Nayar)
Generated probability maps
Fused image

Belgium House

 
Source sequence (courtesy of Dani Lischinski)
 
Generated probability maps
Fused image

House

Source sequence (courtesy of Tom Mertens)
Generated probability maps
Fused image