• DocumentCode
    1991059
  • Title

    Estimating relative objective quality among images compressed from the same original

  • Author

    Yang, Gao ; Wang, Ci ; Tan, Yap-Peng

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Nanyang, China
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    1239
  • Lastpage
    1242
  • Abstract
    This paper presents a new method for estimating the relative compression distortion among images encoded from the same original. Increasingly, many compressed versions of the same image are available over the Internet, but users may not have access to the original to measure their objective quality. We propose to cross-check each image against the quantization constraints of another version and obtain a conservative estimation of the difference in mean squared error (ΔMSE), indicating the relative objective quality between these images. Our proposed method is able to judge the relative quality correctly among compressed images with PSNR difference of as little as 0.5 dB, and it is applicable to images in mixed compression formats, such as JPEG and JPEG2000.
  • Keywords
    data compression; distortion; image coding; Internet; JPEG2000; PSNR difference; compressed images; conservative estimation; image coding; image compression; quantization constraints; relative compression distortion; relative objective quality estimation; Discrete cosine transforms; Image coding; Image reconstruction; PSNR; Quantization; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2011 IEEE International Symposium on
  • Conference_Location
    Rio de Janeiro
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4244-9473-6
  • Electronic_ISBN
    0271-4302
  • Type

    conf

  • DOI
    10.1109/ISCAS.2011.5937794
  • Filename
    5937794