Paper Info
Title
CT image denoising using NLM and its method noise thresholding
Abstract
Computed Tomography (CT) is one of the major tools to identify diagnose in medical science. The quality of CT images is dependent of X-ray amount. If X-ray dose is higher, the quality of CT image is better but it may generate bed impact to the patients. Low dose CT images are noisy due to some major reasons such as statistical uncertainty in all physical measurements. If noise can be reduced or removed from low dose CT images, then quality of low dose CT images can be improved without increasing dose. Hence in this paper, a method is proposed in which Non-local means (NLM) filter and wavelet packet based thresholding are processed. For better edge preservation and noise reduction, method noise concept is used. The results of proposed method is analyzed and also compared with some existing methods. From comparative result analysis, it was observed that performance of the proposed scheme is superior to the existing methods in terms of visual quality, Image Quality Index (IQI), PSNR and Entropy Difference (ED).
Year
DOI
Venue
2020
10.1007/s11042-018-6897-1
Multimedia Tools and Applications
Keywords
DocType
Volume
Image denoising, Wavelet transform, Thresholding, Method noise, Aggregation
Journal
79
Issue
ISSN
Citations 
21-22
1573-7721
1
PageRank 
References 
Authors
0.36
26
3
Name
Order
Citations
PageRank
Manoj Diwakar1234.78
Pardeep Kumar224324.38
Amit Kumar Singh364563.25