Digital Medical Image Enhanced by Stationary Wavelet Transform

Abstract:

Abstract: When a digital medical image is enhanced by Histogram Equalization, Homomorphic Filtering or multi-scales Retinex, the useful details of the image can not be strengthened. According to the imaging principle and medical requirement, a new method is proposed. The image is decomposed into illumination and reflection by wavelet illumination-reflection model. The details of the reflection are strengthened by soft-threshold method. The dynamic range of the illumination is reduced by Gaussian filtering in order to enhance the image. Experiments and analysis show that the method is obviously better than these algorithms.

• Periodical: Applied Mechanics and Materials (Volumes 239-240)
• Pages: 1219-1224
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.239-240.1219
• Online since: December 2012
• Authors: Xiong Jie, Zhang Yan Qin
• Keywords: Digital Medical Image, Histogram Equalization, Homomorphic Filtering, Illumination-Reflection Model, Multi-Scales Retinex, Stationary Wavelet Transform

References

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