Morphological interpolation for texture coding
- 1 January 1995
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 526-529
- https://doi.org/10.1109/icip.1995.529762
Abstract
In this paper a new morphological interpolation technique is presented. It is applied to the coding of the smooth (primary) component in a sketch-based image compression approach for very low bit-rates. The interpolation technique is intended to perform two dimensional interpolation from any set of initial pixels and, in particular, from sketch data. It makes intensive use of geodesic dilation, a morphological operator that may be implemented by means of FIFO queues. This results in a very efficient process compared to those that perform interpolation by linear filtering on the initial image. For the application of this method to interpolative image coding, the sketch data is extracted as a set of maximum curvature lines by means of the watershed algorithm. From such information, the interpolation technique obtains a fair reconstruction of both the smooth texture component and the main transitions of the image signal at low bit-rate cost.Peer ReviewedPostprint (published versionKeywords
This publication has 5 references indexed in Scilit:
- Morphological segmentationPublished by Elsevier ,2004
- A perceptually motivated three-component image model-Part I: description of the modelIEEE Transactions on Image Processing, 1995
- A perceptually motivated three-component image model-part II: applications to image compressionIEEE Transactions on Image Processing, 1995
- Spatial distributions from contour lines: An efficient methodology based on distance transformationsJournal of Visual Communication and Image Representation, 1991
- Sketch based coding of grey level imagesSignal Processing, 1988