Abstract
This paper presents the theory of the FORI-CSDR algorithm (Focus On Regions of Interest — Context-Sensitive Data Reduction). The FORI-CSDR algorithm is able to reduce the amount of image data in dependence of the image context. Within the important image regions nearly no image data will be reduced. The image data of the unimportant image regions are reduced in a very strong way. The data reduction factors for the important and the unimportant image regions can be chosen independently. The FORI-CSDR (focus on regions of interest — context sensitive data reduction) algorithm is able to increase the total data compression rate by varying the image quality settings block-wise, depending on a determined DOI (degree of interest) value.
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© 1999 Springer-Verlag Berlin Heidelberg
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Strohbeck, U., Jäger, U., Macgregor, A. (1999). FORI-CSDR - A New Approach for Context Sensitive Image Data Reduction. In: Solina, F., Leonardis, A. (eds) Computer Analysis of Images and Patterns. CAIP 1999. Lecture Notes in Computer Science, vol 1689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48375-6_10
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DOI: https://doi.org/10.1007/3-540-48375-6_10
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66366-9
Online ISBN: 978-3-540-48375-5
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