• DocumentCode
    816131
  • Title

    A method of estimating coding PSNR using quantized DCT coefficients

  • Author

    Ichigaya, Atsuro ; Kurozumi, Masaaki ; Hara, Naohiro ; Nishida, Yukihiro ; Nakasu, Eisuke

  • Author_Institution
    NHK Sci. & Tech. Res. Labs., Tokyo, Japan
  • Volume
    16
  • Issue
    2
  • fYear
    2006
  • Firstpage
    251
  • Lastpage
    259
  • Abstract
    A new method of estimating coding peak signal-to-noise ratio (PSNR) without the use of reference signals is presented. Although PSNR is commonly used as a measure of the picture degradation of digitally coded video, the calculation requires source signals as a reference.Therefore, the usage of PSNR is restricted to particular applications or systems. The proposed method enables PSNR estimation based on the probability density functions of quantized discrete cosine transform (DCT) coefficients extracted from an MPEG-2 bit stream. We experimented with MPEG-2 video coding bit streams under varying quantization scheme and evaluate a new method with comparing estimated PSNRs with actual PSNRs. Experimental results indicate that the determination coefficients are higher than 0.9 This method can apply to both SDTV and HDTV, and can evaluate PSNR of every frame coded by different picture types.
  • Keywords
    data compression; discrete cosine transforms; probability; quantisation (signal); video coding; video streaming; coding PSNR estimation; discrete cosine transform; probability density function; quantization scheme; quantized DCT coefficients; signal-to-noise ratio; video coding; Decoding; Degradation; Discrete cosine transforms; Monitoring; PSNR; Particle measurements; Power system modeling; Probability density function; Quantization; Streaming media; Discrete cosine transform (DCT) coefficients; Laplacian distribution; MPEG-2 bit stream; peak signal-to-noise ratio (PSNR); quantization;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2005.858745
  • Filename
    1588965