Abstract
Image blur arises when a single object point spreads over several image pixels. This phenomenon is mainly caused by camera motion during exposure or a lens that is out-of-focus. The conventional approach to image deblurring is to construct an image degradation model and then solve the ill-posed inverse problem of this model. A new approach takes advantage of recent advances in image sensing technology which enable splitting or controlling the exposure time [1], [2], [3]. This approach exploits the mutually different pieces of information from multi-exposed images of the same scene to produce the deblurred image.
Original language | English |
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Title of host publication | Computational Photography |
Subtitle of host publication | Methods and Applications |
Publisher | CRC Press |
Pages | 209-225 |
Number of pages | 17 |
ISBN (Electronic) | 9781439817506 |
ISBN (Print) | 9781439817490 |
DOIs | |
Publication status | Published - 2017 Jan 1 |
ASJC Scopus subject areas
- Computer Science(all)
- Engineering(all)