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Proceedings Paper

Efficient coding of morphology-based multiresolution pyramids
Author(s): Alok R. Kher; Sunanda Mitra
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Paper Abstract

The present paper discusses an approach of efficient coding of the error images obtained using the morphology based multiresolution pyramid decomposition technique proposed by Heijmans and Toel. A commonly used approach to achieve significant compression ratios in pyramid compression techniques is to discard the first error image. However, this may cause degradation of fine edges, texture information, and thin features. In the present paper we have proposed an estimator for the first error image. Directional filtering and sampling is used to decompose the error image into two components.

Paper Details

Date Published: 30 June 1994
PDF: 12 pages
Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); doi: 10.1117/12.179182
Show Author Affiliations
Alok R. Kher, Texas Tech Univ. (United States)
Sunanda Mitra, Texas Tech Univ. (United States)

Published in SPIE Proceedings Vol. 2300:
Image Algebra and Morphological Image Processing V
Edward R. Dougherty; Paul D. Gader; Michel Schmitt, Editor(s)

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