Image Volume Denoising Using A Fourier-Wavelet Basis
Wilson, R.G. and Rajpoot, N.M. (2003) Image Volume Denoising Using A Fourier-Wavelet Basis. In: 6th Baiona Workshop on Signal Processing in Communications (Baiona SPC 2003), September, 2003, Baiona, Spain.
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A novel approach to the removal of noise from threedimensional image data is described. The image sequence is represented using a non-adaptive wavelet basis, carefully chosen for its ability to compactly represent locally planar surfaces. This is important in many 3-D applications, including video sequences, where they represent moving luminance edges, and medical volume data, where they represent the interfaces between tissue and bone, for example. The new basis, called a Fourier-Wavelet Basis, is an extension of the complex wavelet bases which have been increasing in popularity in recent years. Because transformation to the new basis is efficient computationally, the overall denoising algorithm is highly efficient. The success of the approach is demonstrated using a noisy video sequence and a noisy human knee MR image volume.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||combi denoising wavelets|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Faculty of Science > Computer Science|
|Depositing User:||Jason Nurse|
|Date Deposited:||18 Dec 2010 12:27|
|Last Modified:||26 Jul 2011 12:17|
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