• DocumentCode
    1716883
  • Title

    SSIM based optimal synthesis filter banks design in subband coding system

  • Author

    Sheng Yuxia ; Chai Li

  • Author_Institution
    Eng. Res. Center of Metall. Autom. & Meas. Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2013
  • Firstpage
    3950
  • Lastpage
    3954
  • Abstract
    Block transform is widely used in image coding. In the presence of subband noise, the perfect reconstruction filter bank may not be the optimal solution. The method of reconstructing image with MSE based optimal filter banks has been studied and can get high PSNR, but it cannot obtain good visual quality. In this paper, we propose a method to design the optimal synthesis filter bank based on SSIM, which is a better measure than MSE in image processing. The method is applied in the reconstruction of DCT coding systems. Compared with MSE based method and IDCT, the proposed design can achieve better structure feature while maintaining satisfactory ability of noise reduction. Experimental results show the effectiveness of our method.
  • Keywords
    channel bank filters; discrete cosine transforms; feature extraction; image coding; image denoising; image reconstruction; mean square error methods; DCT coding system reconstruction; IDCT; MSE based method; MSE based optimal filter banks; PSNR; SSIM based optimal synthesis filter bank design; block transform; image coding; image processing; image reconstruction method; noise reduction; optimal synthesis filter bank; structure feature design; subband coding system; subband noise; visual quality; Discrete cosine transforms; Image coding; Image reconstruction; Indexes; Noise; Standards; Block Transform; Perfect Reconstruction; SSIM; Subband Noise; Synthesis Filter Banks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6640110