• DocumentCode
    28997
  • Title

    Optimal Design of Multichannel Equalizers for the Structural Similarity Index

  • Author

    Li Chai ; Yuxia Sheng

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Wuhan Univ. of Sci. & Technol., Wuhan, China
  • Volume
    23
  • Issue
    12
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    5626
  • Lastpage
    5637
  • Abstract
    The optimization of multichannel equalizers is studied for the structural similarity (SSIM) criteria. The closed-form formula is provided for the optimal equalizer when the mean of the source is zero. The formula shows that the equalizer with maximal SSIM index is equal to the one with minimal mean square error (MSE) multiplied by a positive real number, which is shown to be equal to the inverse of the achieved SSIM index. The relation of the maximal SSIM index to the minimal MSE is also established for given blurring filters and fixed length equalizers. An algorithm is also presented to compute the suboptimal equalizer for the general sources. Various numerical examples are given to demonstrate the effectiveness of the results.
  • Keywords
    image restoration; mean square error methods; MSE; closed-form formula; general sources; image restoration; maximal SSIM index; minimal mean square error; multichannel equalizers; structural similarity index; suboptimal equalizer; Algorithm design and analysis; Equalizers; Image reconstruction; Image restoration; Indexes; Noise; Optimization; Structural similarity; image restoration; linear equalizers; mean square error; optimal design;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2014.2367320
  • Filename
    6948352