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The Combination of Adaptive Filters to Improve the Quality of Medical Images in New Wavelet Domain

The Combination of Adaptive Filters to Improve the Quality of Medical Images in New Wavelet Domain

Nguyen Thanh Binh, Vo Thi Hong Tuyet
Copyright: © 2017 |Pages: 32
ISBN13: 9781522505716|ISBN10: 1522505717|EISBN13: 9781522505723
DOI: 10.4018/978-1-5225-0571-6.ch079
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MLA

Binh, Nguyen Thanh, and Vo Thi Hong Tuyet. "The Combination of Adaptive Filters to Improve the Quality of Medical Images in New Wavelet Domain." Medical Imaging: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2017, pp. 1935-1966. https://doi.org/10.4018/978-1-5225-0571-6.ch079

APA

Binh, N. T. & Tuyet, V. T. (2017). The Combination of Adaptive Filters to Improve the Quality of Medical Images in New Wavelet Domain. In I. Management Association (Ed.), Medical Imaging: Concepts, Methodologies, Tools, and Applications (pp. 1935-1966). IGI Global. https://doi.org/10.4018/978-1-5225-0571-6.ch079

Chicago

Binh, Nguyen Thanh, and Vo Thi Hong Tuyet. "The Combination of Adaptive Filters to Improve the Quality of Medical Images in New Wavelet Domain." In Medical Imaging: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1935-1966. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0571-6.ch079

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Abstract

Most of medical images not only have noise but also have blur. This problem reduces the quality of images and influences diagnostic process of medical specialists because a small detail in a medical image is very useful for treatment process. This chapter explores the new generation wavelets, which provides the basic framework for the development of adaptive techniques to improve the quality of medical images. The process of the method for improving medical images includes: decompose of medical images in nonsubsampled contourlet domain and calculate the coefficients of Bayesian thresholding combined with Lucy Richard to reconstruct the medical images. For demonstrating the superiority of the method, the results of the proposed method are compared with the results of the other methods in new generation wavelet domain.

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