Research Article
Increasing the Quality of Medical Images Based on the Combination of Filters in Ridgelet Domain
@INPROCEEDINGS{10.1007/978-3-319-15392-6_30, author={Nguyen Binh and Vo Tuyet and Phan Vinh}, title={Increasing the Quality of Medical Images Based on the Combination of Filters in Ridgelet Domain}, proceedings={Nature of Computation and Communication. International Conference, ICTCC 2014, Ho Chi Minh City, Vietnam, November 24-25, 2014, Revised Selected Papers}, proceedings_a={ICTCC}, year={2015}, month={2}, keywords={Deblurring Denoising Bayesian thresholding Wiener filter Ridgelet transform}, doi={10.1007/978-3-319-15392-6_30} }- Nguyen Binh
Vo Tuyet
Phan Vinh
Year: 2015
Increasing the Quality of Medical Images Based on the Combination of Filters in Ridgelet Domain
ICTCC
ICST
DOI: 10.1007/978-3-319-15392-6_30
Abstract
In many fields, images become a tool that contains data such as medical images. However, the image not only has blur or noise, but also has blur and noise pair. The aim of deblurring and denoising image is to remove blur and noise detail but this process helps keep edges features and its information. In this paper, we have proposed a method for increasing the quality of medical images based on the combination of filters in ridgelet domain. The proposed method uses ridgelet transform combined with Bayesian thresholding for denoising process and uses Wiener filter for deblurring process in ridgelet domain. For demonstrating the superiority of the proposed method, we have compared the results with the other recent methods available in literature.
