River Sediment image Denoising Algorithm Based on Multidirectional 1D Wavelet Transform

According to the characteristic of river sediment image, the two-dimensional image data is transformed into one-dimensional array data from horizontal, vertical, + diagonal line, - the diagonal line four directional, by using different threshold value on the different wavelet decomposition high frequency coefficient and enhancing the processed coefficient, de-noise image is obtained after inversing wavelet transform and calculating on four two-dimensional pictures by unequal coefficient. The results indicate the proposed algorithm is effective both in reserving the edge and in removing noise compared with Keesook.J. Han algorithm and improving soft-thresholding de-noised algorithm.