Digital image restoration by exposure-splitting and registration

Zile Wei, Yu Cao, A. Richard Newton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

With the explosion of digital imaging systems, high image noise levels, particularly motion blur and sensor noise, limit applications of mobile cameras. In this paper, a novel restoration approach is developed. By uniformly splitting the exposure time and averaging the multiple under-exposed captures, a single image is obtained, in which both types of noise are mitigated. Comprehensive experiments demonstrate successful image restoration under various exposure conditions. Exposure-splitting is further optimized to fully recover the image quality under severe motion blur. This technique can be easily implemented into contemporary digital imaging systems.

Original languageEnglish (US)
Title of host publicationProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
EditorsJ. Kittler, M. Petrou, M. Nixon
Pages657-660
Number of pages4
DOIs
StatePublished - Dec 20 2004
Externally publishedYes
EventProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom
Duration: Aug 23 2004Aug 26 2004

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume4
ISSN (Print)1051-4651

Other

OtherProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
CountryUnited Kingdom
CityCambridge
Period8/23/048/26/04

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Wei, Z., Cao, Y., & Newton, A. R. (2004). Digital image restoration by exposure-splitting and registration. In J. Kittler, M. Petrou, & M. Nixon (Eds.), Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 (pp. 657-660). (Proceedings - International Conference on Pattern Recognition; Vol. 4). https://doi.org/10.1109/ICPR.2004.1333858