• DocumentCode
    672284
  • Title

    Resourcesat-2 image restoration for differential pulse code modulation compression artifacts

  • Author

    Pushpakar, Anurag ; Dube, Nitant ; Dhar, Debajyoti ; Ramakrishnan, R.

  • Author_Institution
    Space Applic. Centre, ISRO, Ahmedabad, India
  • fYear
    2013
  • fDate
    9-11 Dec. 2013
  • Firstpage
    545
  • Lastpage
    549
  • Abstract
    Remote sensing satellites use onboard compression techniques to overcome the limited bandwidth and increasing data volume requirements of images. On-board compression using Differential Pulse Code Modulation (DPCM) is implemented for Resourcesat-2, LISS-3 and LISS-4 sensors. Implemented DPCM is a lossy compression and hence renders artifacts, when images are decompressed on ground. In this paper a technique for restoration of DPCM artifacts is proposed and its performance is evaluated using Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). Proposed technique is used as part of operational data products generation software and sample results are shown.
  • Keywords
    artificial satellites; data compression; differential pulse code modulation; geophysical image processing; image coding; image restoration; image sensors; least mean squares methods; remote sensing; rendering (computer graphics); DPCM compression artifacts; LISS-3 sensor; LISS-4 sensor; MSE; PSNR; Resourcesat-2 image restoration; artifacts rendering; data volume requirements; differential pulse code modulation; image decompression; lossy compression; mean square error method; onboard compression technique; operational data products generation software; peak signal to noise ratio; remote sensing satellites; Conferences; Image coding; Image restoration; PSNR; Radiometry; Table lookup; Uncertainty; Artifact; Compression; DPCM; IRS; LISS-3; LISS-4; MSE; PSNR; RAD; RAW;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Information Processing (ICIIP), 2013 IEEE Second International Conference on
  • Conference_Location
    Shimla
  • Print_ISBN
    978-1-4673-6099-9
  • Type

    conf

  • DOI
    10.1109/ICIIP.2013.6707651
  • Filename
    6707651