SAR Image Denoising Based on Dual Tree Complex Wavelet Transform

This paper firstly applies DC-CWT filter into SAR image denoising. on the base of studying and analyzing the mathematical model of the DT-CWT, especially for multi-scale, multi-resolution performance. According to the merit of strong directory selection and shift invariance of DC-CWT, it proposes a novel noise reduction algorithm. Firstly, it transforms noise image into logarithmic form, then one operates high-frequency coefficients to reduce noise through selecting the optimal threshold. Finally, it reconstructs image. which reduces Computational complexity and improves the filtering effect. In contrast with traditional filter methods, the DT-CWT exhibits a good performance.