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Irregular image sub-sampling and reconstruction by adaptive sampling

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2 Author(s)
Le Floch, H. ; Team TEMIS, IRISA, Rennes, France ; Labit, C.

An irregular adaptive sampling algorithm for a compact image representation is presented. A scattered data interpolation algorithm based on an inverse distance weighted method has been chosen. The goal is to compute the values and the locations of a fixed number of samples to approximate efficiently a natural grey-level image. These values are found by the means of a relaxation process. In the context of image coding, the sample values and sample locations have to be coded. A quantization is applied on the sample values and thus reduces the amount of information. The samples location are represented through a binary image which is coded using an arithmetic coder

Published in:

Image Processing, 1996. Proceedings., International Conference on  (Volume:3 )

Date of Conference:

16-19 Sep 1996

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