Improving Video Image Quality using Automated Wavelet-Based Image Addition

Thierry Daubos, Zeno Geradts, Jean Luc Starck, Jonathan Campbell, Fionn Murtagh

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

Abstract

We use an automatic re-registering of frames taken from a surveillance video to improve signal-to-noise in regions of particular interest. A wavelet transform with automatic signal and noise estimation is used for this purpose. We describe the results obtained using a short surveillance video sequence.

Original languageEnglish
Title of host publicationInternational Symposium on Optical Science, Engineering, and Instrumentation
Subtitle of host publicationWavelet Applications in Signal and Image Processing VII
EditorsMichael A. Unser, Akram Aldroubi, Andrew F. Laine
PublisherSPIE
Pages795-801
Number of pages7
Volume3813
ISBN (Print)9780819432995, 0819432997
DOIs
Publication statusPublished - 26 Oct 1999
Externally publishedYes
EventSPIE'S International Symposium on Optical Science, Engineering, and Instrumentation: Wavelet Applications in Signal and Image Processing VII - Denver, United States
Duration: 18 Jul 199923 Jul 1999

Publication series

NameProceedings of SPIE International Society for Optical Engineering
PublisherSPIE
Volume3813
ISSN (Print)0277-786X

Conference

ConferenceSPIE'S International Symposium on Optical Science, Engineering, and Instrumentation
CountryUnited States
CityDenver
Period18/07/9923/07/99

    Fingerprint

Cite this

Daubos, T., Geradts, Z., Starck, J. L., Campbell, J., & Murtagh, F. (1999). Improving Video Image Quality using Automated Wavelet-Based Image Addition. In M. A. Unser, A. Aldroubi, & A. F. Laine (Eds.), International Symposium on Optical Science, Engineering, and Instrumentation: Wavelet Applications in Signal and Image Processing VII (Vol. 3813, pp. 795-801). (Proceedings of SPIE International Society for Optical Engineering; Vol. 3813). SPIE. https://doi.org/10.1117/12.366836