Abstract
Taking photographs under low light conditions with a handheld camera is problematic. A long exposure time can cause motion blur due to the camera shaking and a short exposure time gives a noisy image. We consider the new technical possibility offered by cameras that take image bursts. Each image of the burst is sharp but noisy. In this preliminary investigation, we explore a strategy to efficiently denoise multi-images or video. The proposed algorithm is a complex image processing chain involving accurate registration, video equalization, noise estimation and the use of state-of-the-art denoising methods. Yet, we show that this complex chain may become risk free thanks to a key feature: the noise model can be estimated accurately from the image burst. Preliminary tests will be presented. On the technical side, the method can already be used to estimate a non parametric camera noise model from any image burst. ©2009 IEEE.
| Original language | English |
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| Title of host publication | 2009 International Workshop on Local and Non-Local Approximation in Image Processing, LNLA 2009: Proceedings |
| Publisher | IEEE |
| Pages | 1-15 |
| Number of pages | 15 |
| ISBN (Electronic) | 9781424451678 |
| DOIs | |
| Publication status | Published - 2009 |
| Externally published | Yes |
| Event | 2009 International Workshop on Local and Non-Local Approximation in Image Processing - Tuusula, Finland Duration: 19 Aug 2009 → 21 Aug 2009 |
Workshop
| Workshop | 2009 International Workshop on Local and Non-Local Approximation in Image Processing |
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| Abbreviated title | LNLA 2009 |
| Country/Territory | Finland |
| City | Tuusula |
| Period | 19/08/09 → 21/08/09 |
Funding
Research partially financed by the Centre National d’Etudes Spatiales and the Office of Naval research under grant N00014-97-1-0839.