• DocumentCode
    3479301
  • Title

    Encoding scheme for multi-component images containing no-data regions

  • Author

    González-Conejero, Jorge ; Bartrina-Rapesta, Joan ; Serra-Sagristà, Joan

  • Author_Institution
    Dep. of Inf. & Commun. Eng., Univ. Autonoma de Barcelona, Cerdanyola, Spain
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    1897
  • Lastpage
    1900
  • Abstract
    Most sensors used in remote sensing applications produce multicomponent images. These images may contain areas without information (no-data regions). This paper introduces a scheme composed by three main stages to encode this kind of images. The first stage is devised to exploit the spectral and spatial redundancies through the KLT and DWT. The second stage applies either the 2D-BISK, or its 3D extension (3D-BISK), or the multi-component shape adaptive (SA) version of JPEG2000. In the last stage, two different rate-control methods to combine the components´ bitstreams are proposed. Experiments, performed on data from real applications, suggest that the best approach is SA KLT and SA 2D-DWT to decor-relate the spectral and spatial redundancies respectively, and a 2D coding system, followed by a rate-control method. The SNR improvement is from 5 dB to 20 dB over other strategies.
  • Keywords
    Karhunen-Loeve transforms; discrete wavelet transforms; image coding; 2D coding system; 2D-BISK; 3D-BISK; JPEG2000; Karhunen-Loeve transform; SNR improvement; discrete wavelet transform; image encoding; multicomponent image; no-data region; rate-control method; shape adaptive; spatial redundancy; spectral redundancy; Costs; Decorrelation; Image coding; Image sensors; Image storage; Karhunen-Loeve transforms; Remote sensing; Scalability; Shape; Transform coding; BISK; JPEG2000; KLT; Remote sensing; shape-adaptive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5413670
  • Filename
    5413670