Zhang Chengxin, Chen Yunbin, Li Shoutao, et al. Application of wavelet domain Wiener filtering algorithm to cone-beam dental CT[J]. High Power Laser and Particle Beams, 2013, 25: 33-38.
Citation:
Zhang Chengxin, Chen Yunbin, Li Shoutao, et al. Application of wavelet domain Wiener filtering algorithm to cone-beam dental CT[J]. High Power Laser and Particle Beams, 2013, 25: 33-38.
Zhang Chengxin, Chen Yunbin, Li Shoutao, et al. Application of wavelet domain Wiener filtering algorithm to cone-beam dental CT[J]. High Power Laser and Particle Beams, 2013, 25: 33-38.
Citation:
Zhang Chengxin, Chen Yunbin, Li Shoutao, et al. Application of wavelet domain Wiener filtering algorithm to cone-beam dental CT[J]. High Power Laser and Particle Beams, 2013, 25: 33-38.
A wavelet domain Wiener filtering method is proposed for denoising of cone-beam dental CT images. The db4 wavelet is used to decompose the CT image, and the Wiener filtering is implemented in each scale of wavelet coefficients, while the parameters of local mean and noise variance estimation are adjusted based on region statistical characteristics in each scale of wavelet coefficients. New wavelet coefficients are used for the reconstruction of the denoised image, and the denoised CT image is obtained. The results of computer simulation and the cone-beam dental CT actual data prove that this method raises the reconstruction images signal-to-noise ratio, suppresses image noise effectively, and then improves the image visual effect obviously.
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