No-reference analysis of decoded MPEG images for PSNR estimation and post-processing

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    We propose no-reference analysis and processing of DCT (Discrete Cosine Transform) coded images based on estimation of selected MPEG parameters from the decoded video. The goal is to assess MPEG video quality and perform post-processing without access to neither the original stream nor the code stream. Solutions are presented for MPEG-2 video. A method to estimate the quantization parameters of DCT coded images and MPEG I-frames at the macro-block level is presented. The results of this analysis is used for deblocking and deringing artifact reduction and no-reference PSNR estimation without code stream access. An adaptive deringing method using texture classification is presented. On the test set, the quantization parameters in MPEG-2 I-frames are estimated with an overall accuracy of 99.9% and the PSNR is estimated with an overall average error of 0.3dB. The deringing and deblocking algorithms yield improvements of 0.3dB on the MPEG-2 decoded test sequences.
    Original languageEnglish
    JournalJournal of Visual Communication and Image Representation
    Issue number4
    Pages (from-to)313-324
    Publication statusPublished - 2011

    Bibliographical note

    NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Visual Communication and Image Representation. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Visual Communication and Image Representation, [VOL 22, ISSUE 4, (2011)] DOI 10.1016/j.jvcir.2011.01.006


    • DCT
    • Quantization parameter estimation
    • MPEG
    • Video post-processing
    • Image post-processing
    • No reference PSNR estimation
    • I-frame detection


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