Blind source separation based x-ray image denoising from an image sequence
- 1 September 2015
- journal article
- research article
- Published by AIP Publishing in Review of Scientific Instruments
- Vol. 86 (9), 093701
- https://doi.org/10.1063/1.4928815
Abstract
Blind source separation (BSS) based x-ray image denoising from an image sequence is proposed. Without priori knowledge, the useful image signal can be separated from an x-ray image sequence, for original images are supposed as different combinations of stable image signal and random image noise. The BSS algorithms such as fixed-point independent component analysis and second-order statistics singular value decomposition are used and compared with multi-frame averaging which is a common algorithm for improving image’s signal-to-noise ratio (SNR). Denoising performance is evaluated in SNR, standard deviation, entropy, and runtime. Analysis indicates that BSS is applicable to image denoising; the denoised image’s quality will get better when more frames are included in an x-ray image sequence, but it will cost more time; there should be trade-off between denoising performance and runtime, which means that the number of frames included in an image sequence is enough.Funding Information
- Basic Research Program of Jiangsu Province (BK20140876)
- Basic Research Program of Jiangsu Education Department (JS-2013-199, SJZZ_0108)
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