Image Denoising of Ground Penetrating Radar Based on Wavelet Scale Space Correlation

Donoho and Johnstone (1994) proposed a method for threshold shrink denoising based on wavelets coefficient estimation of each isolating scale get optimal results, but the correlation of contiguous coefficients is not considered. The detail of signal will be dismissed if its coefficient is similar to noisy coefficients. a novel algorithm for ground penetrating radar (GPR) image denoising based on scale space correlation, and wavelet coefficients energy transformation rule, is proposed to solve this problem. The results of simulation experiment and processing GPR images show that, compared with the existing denoising methods, the proposed algorithm can more effectively denoising noise in GPR image.