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Video enhancement using adaptive spatio-temporal connective filter and piecewise mapping

  • Chao Wang
    ,
  • Li-Feng Sun
    ,
  • Bo Yang
    ,
  • Yi-Ming Liu
    ,
  • Shi-Qiang Yang
Research Output: Contribution to journal Article Peer-review

Open access

Abstract

This paper presents a novel video enhancement system based on an adaptive spatio-temporal connective (ASTC) noise filter and an adaptive piecewise mapping function (APMF). For ill-exposed videos or those with much noise, we first introduce a novel local image statistic to identify impulse noise pixels, and then incorporate it into the classical bilateral filter to form ASTC, aiming to reduce the mixture of the most two common types of noises - Gaussian and impulse noises in spatial and temporal directions. After noise removal, we enhance the video contrast with APMF based on the statistical information of frame segmentation results. The experiment results demonstrate that, for diverse low-quality videos corrupted by mixed noise, underexposure, overexposure, or any mixture of the above, the proposed system can automatically produce satisfactory results.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Journal (Volume, Issue Number)

Eurasip Journal on Advances in Signal Processing (Issue 165792)

Publication milestones

  • Published - 01/05/2008

Publication status

Published - 01/05/2008

ISSN

1687-6172

External Publication IDs

  • handle.net: 10547/223736
  • Scopus: 45749092188

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