Adaptive Noise Model for Transform Domain Wyner-Ziv Video using Clustering of DCT Blocks

Huynh Van Luong, Xin Huang, Søren Forchhammer

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    The noise model is one of the most important aspects influencing the coding performance of Distributed Video Coding. This paper proposes a novel noise model for Transform Domain Wyner-Ziv (TDWZ) video coding by using clustering of DCT blocks. The clustering algorithm takes advantage of the residual information of all frequency bands, iteratively classifies blocks into different categories and estimates the noise parameter in each category. The experimental results show that the coding performance of the proposed cluster level noise model is competitive with state-ofthe- art coefficient level noise modelling. Furthermore, the proposed cluster level noise model is adaptively combined with a coefficient level noise model in this paper to robustly improve coding performance of TDWZ video codec up to 1.24 dB (by Bjøntegaard metric) compared to the DISCOVER TDWZ video codec.
    Original languageEnglish
    Title of host publicationProceedings of MMSP 2011
    PublisherIEEE
    Publication date2011
    ISBN (Print)978-1-4577-1434-4
    DOIs
    Publication statusPublished - 2011
    Event13th International Workshop on Multimedia Signal Processing - Hangzhou, China
    Duration: 17 Oct 201119 Oct 2011
    Conference number: 13
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6082085

    Workshop

    Workshop13th International Workshop on Multimedia Signal Processing
    Number13
    Country/TerritoryChina
    CityHangzhou
    Period17/10/201119/10/2011
    Internet address

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