• DocumentCode
    2380396
  • Title

    Wavelet atoms approximation for simultaneous image compression and de-noising

  • Author

    Bruni, V. ; Vitulano, D.

  • Author_Institution
    Ist. per le Applicazioni del Calcolo, CNR, Rome, Italy
  • Volume
    3
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    WISDOW-Comp is a scheme for simultaneous image compression and denoising. Its key issue consists of firstly expanding the input image in a basis of wavelets. The corresponding coefficients can be then seen as waves that travel through both space and scales. Thus the overlapping effects principle can be applied to manage waves interference. Each atom is characterized by the amplitude and the location of its absolute modulus maximum. This powerful representation allows us to sent to the decoder just the low pass component of the image and the significance map of atoms absolute maxima for achieving a denoised image. Experimental results show that the proposed comp-denoiser outperforms the state of the art in terms of both rate and distortion.
  • Keywords
    approximation theory; data compression; decoding; image coding; image denoising; wavelet transforms; decoder; image compression; image denoising; wavelet atoms approximation; Decoding; Image coding; Image processing; Interference; Noise reduction; Rate distortion theory; Signal denoising; Space exploration; Wavelet coefficients; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530396
  • Filename
    1530396