Name
Title | ||
|---|---|---|
Increasing the Quality of Medical Images Based on the Combination of Filters in Ridgelet Domain |
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-15392-6_30 | Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering |
Keywords | Field | DocType |
Deblurring,Denoising,Bayesian thresholding,Wiener filter,Ridgelet transform | Wiener filter,Ridgelet transform,Noise reduction,Computer vision,Deblurring,Computer science,Artificial intelligence,Thresholding,Bayesian probability | Conference |
Volume | ISSN | Citations |
144 | 1867-8211 | 3 |
PageRank | References | Authors |
0.42 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nguyen Thanh Binh | 1 | 64 | 16.92 |
| Vo Thi Hong Tuyet | 2 | 4 | 1.79 |
| Phan Cong Vinh | 3 | 57 | 25.03 |