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

  • Authors:
  • Jorge González-Conejero;Joan Bartrina-Rapesta;Joan Serra-Sagristà

  • Affiliations:
  • Universitat Autònoma de Barcelona, Dep. of Information and Communications Engineering, Cerdanyola del Vallès, Spain;Universitat Autònoma de Barcelona, Dep. of Information and Communications Engineering, Cerdanyola del Vallès, Spain;Universitat Autònoma de Barcelona, Dep. of Information and Communications Engineering, Cerdanyola del Vallès, Spain

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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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 ratecontrol 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 decorrelate 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.