Wavelet image enhancement based on Teager energy operator

Mao Yu Huang, Din Chang Tseng, Michael S.C. Liu

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Three approaches based on wavelet transform, Teager energy operator, anchor human visual properties are proposed to improve the unsharp-masking image enhancement. The wavelet transform is used for providing multi-scaled information, the Teager energy operator is used to solve the wideband noise problems, and human visual properties is used to provide automatically dynamic thresholding for enhancement. In experiments, two other methods were also implemented for comparison. Based on the evaluation of visual inspection and quantitative measurement, the proposed approaches have shown to produce better results than the other methods produced.

Original languageEnglish
Pages (from-to)993-996
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume16
Issue number2
DOIs
StatePublished - 2002

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