• DocumentCode
    3329172
  • Title

    Low power implementation of DCT for on-board satellite image processing systems

  • Author

    Vijay, S. ; Anchit, D.

  • Author_Institution
    Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2009
  • fDate
    2-5 Aug. 2009
  • Firstpage
    774
  • Lastpage
    777
  • Abstract
    Full adders are the significant elements which need to be analyzed for low-complexity implementation. Algorithms which minimize the complexity of multiplications of the input image matrix and the DCT matrix focus on reducing the number of full adders (NFAs) needed to implement the multiplication. In this paper, we have successfully proposed a novel technique to reduce considerably the NFAs, and thereby both the power consumption and time delay involved in implementing the image-DCT multiplication. The authors make use of row-column transformations of the input image matrix exploiting the symmetry of the DCT. Design results show that our method gives an average reduction in power of about 10.5% when compared to differential pixel implementation (DPI) and 16.5% when compared to the conventional implementation. The proposed method can also be made recursive, which can further reduce the NFAs for the implementation.
  • Keywords
    computer vision; discrete cosine transforms; geographic information systems; image resolution; matrix algebra; remote sensing; differential pixel; discrete cosine transform; input image matrix; multiplications complexity; on-board satellite image processing systems; power consumption; Adders; Discrete cosine transforms; Discrete transforms; Image coding; Image processing; Pixel; Remote sensing; Satellite ground stations; Sparse matrices; Transform coding; Differential pixel; Discrete Cosine Transform; low-power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2009. MWSCAS '09. 52nd IEEE International Midwest Symposium on
  • Conference_Location
    Cancun
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4244-4479-3
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2009.5235883
  • Filename
    5235883