Image-registration-based local noise reduction for noisy video sequences

Nan Jiang, Glen Abousleman, Jennie Si

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

1 Scopus citations

Abstract

This paper presents a method for localizing noise-corrupted areas in quality degraded video frames, and for reducing the additive noise by utilizing the temporal redundancy in the video sequence. In the proposed algorithm, the local variance of each pixel is computed to obtain the spatial distribution of noise. After adaptive thresholding, region clustering, and merging, the corrupted areas of highest energy are detected. Due to the high temporal redundancy in the video sequence, the corrupted information can be compensated by overlapping the corrupted regions with the appropriate regions from adjacent video frames. The corresponding pixel locations in the adjacent frames are computed by using image registration and warping techniques. New pixel values are calculated based upon multi-frame stacking. Pixel values in the adjacent frames are weighted according to registration errors, whereas the values in the noisy frame are evaluated according to local variance. Knowing the location of the local noise enables the denoising process to be much more specific and accurate. Moreover, since only a portion of the frame is processed, as compared to standard denoising methods that operate on the entire frame, the details and features in other areas of the frame are preserved. The proposed scheme is applied to UAV video sequences, where the outstanding noise localization and reduction properties are demonstrated.

Original languageEnglish (US)
Title of host publicationAirborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III
DOIs
StatePublished - Aug 29 2006
EventAirborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III - Kissimmee, FL, United States
Duration: Apr 19 2006Apr 20 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6209
ISSN (Print)0277-786X

Other

OtherAirborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III
CountryUnited States
CityKissimmee, FL
Period4/19/064/20/06

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Keywords

  • Blocking Artifact
  • Euclidean Distance Map
  • Feature Points
  • Image Quality
  • Image Registration
  • Video Mosaic

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Jiang, N., Abousleman, G., & Si, J. (2006). Image-registration-based local noise reduction for noisy video sequences. In Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III [620902] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6209). https://doi.org/10.1117/12.665122