Efficient coding of morphology-based multiresolution pyramids

Alok R. Kher; Sunanda Mitra

doi:10.1117/12.179182

30 June 1994 Efficient coding of morphology-based multiresolution pyramids

Alok R. Kher, Sunanda Mitra

Proceedings Volume 2300, Image Algebra and Morphological Image Processing V; (1994) https://doi.org/10.1117/12.179182
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Alok R. Kher and Sunanda Mitra "Efficient coding of morphology-based multiresolution pyramids", Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); https://doi.org/10.1117/12.179182

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