Morphological image coding via bit-plane decomposition and a new skeleton representation

Guillermo Sapiro, David Malah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A new approach for image coding based on bit-plane decomposition and binary morphological operations is presented. The image is first processed by an errordiffusion technique in order to reduce the number of bitplanes without a significant quality degradation. The bitplanes of the resulting image are converted to Gray code and are represented by a modified morphological skeleton which uses an increasing size structuring element. Redundancy in this representation is reduced with an algorithm motivated by a Geometric Sampling Theorem which we present. These reduced modified morphological skeletons are coded with an entropy coding scheme which was particularly devised for efficient skeleton coding. A postprocessing operation, as well as the possibility of geometric progressive transmission, are also discused.

Original languageEnglish (US)
Title of host publicationProceedings - 17th Convention of Electrical and Electronics Engineers in Israel, EEIS 1991
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages174-177
Number of pages4
ISBN (Electronic)0879426780, 9780879426781
DOIs
StatePublished - 1991
Externally publishedYes
Event17th Convention of Electrical and Electronics Engineers in Israel, EEIS 1991 - Tel Aviv, Israel
Duration: Mar 5 1991Mar 7 1991

Publication series

NameProceedings - 17th Convention of Electrical and Electronics Engineers in Israel, EEIS 1991

Conference

Conference17th Convention of Electrical and Electronics Engineers in Israel, EEIS 1991
Country/TerritoryIsrael
CityTel Aviv
Period3/5/913/7/91

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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