Image enhancement using wavelet-domain mixture models

Fei Shi, Ivan W. Selesnick, Onur Guleryuz

Research output: Contribution to conferencePaper

Abstract

We propose a non-linear mapping function for digital image enhancement in fhe wavelet domain, which amplifies midrange coefficients more than small and large coefficients. We derive this function based on a statistical model of the wavelet coefficients. This three-component mixture model describes the coefficients in each subband as a mixture of small, medium, and large coefficients to which different amplification factors are assigned. The model parameters are estimated from each subband using the EM algorithm. The algorithm has a small number of user-specified parameters while can obtain good enhancement results.

Original languageEnglish (US)
Pages590-595
Number of pages6
DOIs
StatePublished - 2006
Event2006 IEEE 12th Digital Signal Processing Workshop and 4th IEEE Signal Processing Education Workshop, DSPWS - Moose, WY, United States
Duration: Sep 24 2006Sep 27 2006

Other

Other2006 IEEE 12th Digital Signal Processing Workshop and 4th IEEE Signal Processing Education Workshop, DSPWS
CountryUnited States
CityMoose, WY
Period9/24/069/27/06

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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