Denoising Medical Images using Q-Shift Complex Wavelets
S. Jayanthi, H. Ranganathan, Rajiv Gandhi · 2014
Abstract: In this paper, we present a method for denoising medical images using Quarter-shift Dual Tree complex wavelet transform. The Q-shift complex wavelets provide a high degree shift invariance and good directional selectivity in filtering signals with more than one dimension. Denoising using these shift-invariant wavelet transforms achieves better performance. The Q-shift DTCWT filters provide linear phase and a tight frame transform, and better selectivity in frequency domain compared to other filters. The QDTCWT brings in only a limited amount of redundancy and is also computationally efficient. All of this is in addition to properties of smoothness and perfect reconstruction. One of the direct applications of denoising medical images is to aid in diagnoses by improving the visual quality of the image.