1. Combining deblurring and denoising for handheld HDR imaging in low light conditions
- Author
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Lakshman, Pandya
- Subjects
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HIGH dynamic range imaging , *PROBABILITY theory , *COMPUTATIONAL complexity , *SPATIAL analysis (Statistics) , *COMPUTER algorithms , *COMPARATIVE studies , *OPTICAL flow , *COMPUTER science - Abstract
Abstract: This paper proposes a probability formulation that unifies both single-image deblurring and multi-image denoising using variational inference. The proposed formulation is based on a theoretical analysis that compares denoising and deblurring in the same probabilistic framework, and supported by a practical approach that deal with general motion that creates HDR images in the presence of spatially varying motion. Based on this formulation, a new algorithm for deblurring a noisy and blurry image pair is presented. Besides, we provide also an approach that combines existing optical flow and image denoising techniques for High Dynamic Range imaging. [Copyright &y& Elsevier]
- Published
- 2012
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