• DocumentCode
    2274175
  • Title

    Perfect Compression Technique in Combination with Training Algorithm and Wavelets

  • Author

    Tomar, K. ; Khuteta, A.

  • Author_Institution
    CSE Dept., Poornima Coll. of Eng., Jaipur, India
  • fYear
    2013
  • fDate
    6-8 April 2013
  • Firstpage
    127
  • Lastpage
    132
  • Abstract
    This paper presents a new algorithm for neural network with different techniques. Experimental results show that this algorithm outperforms other coders such as SPIHT EZW STW exits in the literature in terms of simplicity and coding efficiency by successive partition the wavelet coefficients in the space frequency domain and send them using adaptive decimal to binary conversion. Spatial-orientation tree wavelet (STW) and Embedded Zero tree Wavelet (EZW) has been proposed as a method for effective and efficient embedded image coding. This method holds good for au important features like PSNR, MSE, BPP, CR, image size. SPHIT has been successfully used in many applications.
  • Keywords
    image coding; neural nets; wavelet transforms; BPP; CR; EZW; MSE; PSNR; SPHIT; STW; adaptive decimal-to-binary conversion; coding efficiency; compression technique; embedded image coding; embedded zero tree wavelet; image size; neural network; space frequency domain; spatial-orientation tree wavelet; training algorithm; Algorithm design and analysis; Encoding; Image coding; Image color analysis; Indexes; PSNR; Transforms; EZW; MSE; Neural Network; PSNR; SPIHT; STW;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2013 International Conference on
  • Conference_Location
    Gwalior
  • Print_ISBN
    978-1-4673-5603-9
  • Type

    conf

  • DOI
    10.1109/CSNT.2013.36
  • Filename
    6524372