Recursive bilateral filter for encoder-integrated video denoising

Dong Qing Zhang, Bo Wang, Zixiang Xiong, Heather Yu

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Abstract

Video denoising based on temporal or spatiotemporal filtering is highly effective but computationally expensive due to the requirement of motion estimation. Encoder-integrated denoising is an efficient framework that embeds the filtering process into the encoding pipeline so that motion estimation for denoising can be avoided. State-of-the-arts encoder-integrated methods use Least Minimum Mean Square Error (LMMSE) optimal filters to reduce noise based on additive noise models. However, in practice, the LMMSE filters could result in blurred edges and visual artifacts due to inaccurate image signal estimation caused by outlier input samples and non-adaptivity within macroblocks. This paper presents new recursive bilateral filters that can be easily integrated into video encoders to tackle the limitations of the LMMSE filters. The robustness of the bilateral filters results in substantially better objective and subjective quality with marginal computation cost increase.

Original languageEnglish
Title of host publication2012 IEEE Visual Communications and Image Processing, VCIP 2012
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Print)9781467344050
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventIEEE Visual Communications and Image Processing 2012 - San Diego, United States of America
Duration: 27 Nov 201230 Nov 2012

Conference

ConferenceIEEE Visual Communications and Image Processing 2012
Abbreviated titleVCIP 2012
CountryUnited States of America
CitySan Diego
Period27/11/1230/11/12

Keywords

  • bilateral filter
  • encoder-integrated de-noising
  • recursive bilateral filter
  • Video denoising

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