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 th...Show MoreMetadata
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.
Published in: IEEE Transactions on Image Processing ( Volume: 20, Issue: 12, December 2011)
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- IEEE Keywords
- Index Terms
- Random Walk ,
- Multi-exposure Images ,
- Quality Measures ,
- Single Image ,
- Global Optimization ,
- Fusion Method ,
- Fusion Techniques ,
- Local Contrast ,
- Color Consistency ,
- Fusion Problem ,
- Scene Details ,
- Input Image ,
- Image Pixels ,
- Linear System ,
- Number Of Images ,
- Probability Function ,
- Local Measurements ,
- Natural Scenes ,
- Subband ,
- Adjacent Pixels ,
- High Dynamic Range Image ,
- Low Dynamic Range ,
- High Dynamic Range ,
- Noisy Images ,
- Complex Steps ,
- Object Boundaries ,
- Random Walk Algorithm ,
- Node Labels ,
- Neighborhood Information ,
- Harmonic Functions
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Random Walk ,
- Multi-exposure Images ,
- Quality Measures ,
- Single Image ,
- Global Optimization ,
- Fusion Method ,
- Fusion Techniques ,
- Local Contrast ,
- Color Consistency ,
- Fusion Problem ,
- Scene Details ,
- Input Image ,
- Image Pixels ,
- Linear System ,
- Number Of Images ,
- Probability Function ,
- Local Measurements ,
- Natural Scenes ,
- Subband ,
- Adjacent Pixels ,
- High Dynamic Range Image ,
- Low Dynamic Range ,
- High Dynamic Range ,
- Noisy Images ,
- Complex Steps ,
- Object Boundaries ,
- Random Walk Algorithm ,
- Node Labels ,
- Neighborhood Information ,
- Harmonic Functions
- Author Keywords