• DocumentCode
    2062389
  • Title

    Comparative analysis of image compression using image interpolation and SPIHT encoding

  • Author

    Jain, Vaibhav ; Jain, Nitin ; Parikh, Ashish

  • fYear
    2012
  • fDate
    16-18 March 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we have discussed compression and analysis of image using high resolution grid and SPIHT encoding technique. Firstly the original image is converted in to low resolution (less size) image, then quantization and SPIHT encoding, techniques are applied to compress the image. To restore the original image, the compressed image is decompressed (dequantized & decoded) and interpolation techniques using high resolution grid (tukey window and PG algorithm) are applied to achieve high resolution decompressed image. The PSNR of the high resolution decompressed image is high compared to PSNR of low resolution original image. At last we found the compression ratio is directly proportional to PSNR.
  • Keywords
    data compression; image coding; image resolution; interpolation; PG algorithm; PSNR; SPIHT encoding; image analysis; image compression; image decoding; image decompression; image dequantization; image encoding; image interpolation; image quantization; image resolution grid; image restoration; tukey window; Image coding; Image resolution; Interpolation; Medical diagnostic imaging; PSNR; Signal resolution; Compression Ratio (CR); MIC; PG algorithm (Papoulis-Gerchberg method); Peak Signal to Noise Ratio (PSNR); ROI Compression; SPIHT; Tukey-wind;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering and Systems (SCES), 2012 Students Conference on
  • Conference_Location
    Allahabad, Uttar Pradesh
  • Print_ISBN
    978-1-4673-0456-6
  • Type

    conf

  • DOI
    10.1109/SCES.2012.6199014
  • Filename
    6199014