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The aim of this paper is to enhance the coding performance obtained for images that contain regions without information, here named as no-data regions, within the JPEG2000 framework. In remote sensing and in telemedicine, no-data regions can be produced due to several factors, such as geometric corrections, overlapping of successive layers of information, the interest of the user/application in only...
Geographic Information Systems (GIS) and Remote Sensing (RS) applications are becoming an important issue for the territorial management, governmental and research projects, and for many fields of our society. A characteristic of such applications is the displaying of successive layers of information that, in some cases, may overlap areas of the displayed images that are eventually never showed to...
This paper deals with the encoding of high resolution images for remote sensing and geographic information systems applications. We are currently investigating the suitability of several still image coding techniques for this kind of applications. We present results for an adapted and modified version of the CCSDS-ILDC technique. In addition to evaluate its compression factor and quality of recovery...
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