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Reconstructing with moments

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

The relatively old problem of image reconstruction from a finite set of its geometric moments (inverse moment problem) is examined. The application of the information-theoretic method of Maximum Entropy (ME) is proposed and compared to the Legendre Moments (LM) approach. Several computer simulations are presented that demonstrate the superiority of the proposed technique. Tire comparative study is extended to include the case of noise-corrupted images.

Original languageEnglish
Title of host publicationProceedings, IAPR 1992 - 11th IAPR International Conference on Pattern Recognition
Subtitle of host publicationConference C: Image, Speech, and Signal Analysis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages476-480
Number of pages5
Volume3
ISBN (Print)0818629207
DOIs
Publication statusPublished - 1992
Event11th IAPR International Conference on Pattern Recognition - The Hague, Netherlands
Duration: 30 Aug 19921 Sep 1992

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume3
ISSN (Print)1051-4651

Conference

Conference11th IAPR International Conference on Pattern Recognition
Abbreviated titleIAPR 1992
CountryNetherlands
CityThe Hague
Period30/08/921/09/92

Related information

Relations Get citation (various referencing formats)

ID: 17036227