JPEG2000 coding techniques addressed to images containing no-data regions

  • Authors:

  • Jorge González-Conejero;Francesc Aulí-Llinàs;Joan Bartrina-Rapesta;Joan Serra-Sagristà

  • Affiliations:

  • Universitat Autònoma de Barcelona, Dep. of Information and Communications Engineering, UAB-ETSE, Cerdanyola del Vallès, Spain;Universitat Autònoma de Barcelona, Dep. of Information and Communications Engineering, UAB-ETSE, Cerdanyola del Vallès, Spain;Universitat Autònoma de Barcelona, Dep. of Information and Communications Engineering, UAB-ETSE, Cerdanyola del Vallès, Spain;Universitat Autònoma de Barcelona, Dep. of Information and Communications Engineering, UAB-ETSE, Cerdanyola del Vallès, Spain

  • Venue:
  • ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
  • Year:
  • 2007

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Abstract

This work introduces techniques addressed to enhance the coding performance obtained when compressing images that contain areas with irrelevant information, here called no-data regions. No-data regions can be produced due to several factors, such as geometric corrections, overlapping of successive layers of information, a malfunction of the sensor used to capture the image, etc. Most coding systems are not devised to consider such regions separately from the rest of the image, sometimes causing an important loss in the coding efficiency. Within the framework JPEG2000, we propose five techniques that address this issue. Experimental results suggest that the application of the proposed techniques can achieve, in some cases, a compression gain of 130 over a compression without applying the proposed techniques.