Wavelet-based histogram equalization enhancement of gastric sonogram images

J. C. Fu, H. C. Lien, S. T C Wong

Research output: Contribution to journalArticlepeer-review

42 Scopus citations


The gray levels of gastric sonogram images are usually concentrated at the zero end of the spectrum, making the image too low in contrast and too dark for the naked eye. Though histogram equalization can enhance the contrast by redistributing the gray levels, it has the drawback that it reduces the information in the processed image. In this paper, a wavelet-based enhancement algorithm post-processor is used to further enhance the image and compensate for the information loss during histogram equalization. Experimental results show that the wavelet-based enhancement algorithm can enhance the contrast and significantly increase the informational entropy of the image. Because the combination of the histogram equalization and wavelet approach can dramatically increase the contrast and maintain information rate in gastric sonograms, it has the potential to improve clinical diagnosis and research. Copyright (C) 2000 Elsevier Science Ltd.

Original languageEnglish (US)
Pages (from-to)59-68
Number of pages10
JournalComputerized Medical Imaging and Graphics
Issue number2
StatePublished - Apr 2000


  • Digital sonogram
  • Entropy
  • Image enhancement
  • Wavelet transform

ASJC Scopus subject areas

  • Computer Science Applications
  • Radiology Nuclear Medicine and imaging


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