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Gray-Scale Image Enhancement using the SMQT
Responsible organisation
2005 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

This paper explores the Successive Mean Quantization Transform (SMQT) for automatic enhancement of gray-scale images. The transform is in the paper presented using set theory. The image enhancement capabilities and properties of the transform are analyzed. The transform is capable to perform both a nonlinear and a shape preserving stretch of the image histogram. Experiments and comparisons to histogram equalization are conducted.

Place, publisher, year, edition, pages
Genoa, 2005.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-9270ISI: 000235773300149Local ID: oai:bth.se:forskinfoDA2EF158A19E2B67C12572CF002E0869OAI: oai:DiVA.org:bth-9270DiVA: diva2:837052
Conference
IEEE International Conference on Image Processing (ICIP)
Available from: 2012-09-18 Created: 2007-05-02 Last updated: 2015-06-30Bibliographically approved

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fulltext(3710 kB)130 downloads
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Nilsson, MikaelDahl, MattiasClaesson, Ingvar
Signal Processing

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CiteExportLink to record
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