• DocumentCode
    693708
  • Title

    Low complex ADPCM image compression technique

  • Author

    Kumar, Ajit ; Kumaran, Rajiv ; Paul, Sudipta ; Parmar, R.M.

  • Author_Institution
    Sensor Electron. Group, Indian Space Res. Organ., Jodhpur Tekra, India
  • fYear
    2013
  • fDate
    18-19 Oct. 2013
  • Firstpage
    318
  • Lastpage
    321
  • Abstract
    Future high resolution optical instruments for space remote sensing will lead to higher data volumes. Hence, on-board image compression becomes mandatory considering constraints in data rate. MLG (MultiLinear-Gain) compression (12:10) technique has been used in AWiFS payload of Resourcesat-2 mission. The main advantage of MLG is its improved SNR at low reflectance values and low on-board hardware resources. However SNR degrades at high reflectance values. Hence, a study is carried out to improve SNR performance in entire dynamic range. Adaptive Differential Pulse Code Modulation (ADPCM) is one prediction based image compression technique, which has been used by other space agencies with their own proprietary algorithm. Hence a custom ADPCM technique with two quantizers is developed while maintaining similar 12:10 interface. Developed technique provides improved SNR throughout full dynamic range and recovers >99.5% pixel data losslessly. Root-Mean Square Error (RMSE) performance is also improved from 1.5 to 17 times depending on image contrast. Developed technique is low complex and can be implemented in low end FPGA without any additional memory.
  • Keywords
    data compression; geophysical image processing; image coding; remote sensing; AWiFS payload; Adaptive Differential Pulse Code Modulation; Resourcesat-2 mission; complex ADPCM image compression technique; high resolution optical instruments; on-board hardware resources; on-board image compression; proprietary algorithm; reflectance values; root-mean square error; space remote sensing; ADPCM; Dynamic Range; MLG; RMSE;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Computational Intelligence and Information Technology, 2013. CIIT 2013. Third International Conference on
  • Conference_Location
    Mumbai
  • Type

    conf

  • DOI
    10.1049/cp.2013.2608
  • Filename
    6950892