关键词: 小波变换, 显微图像, 去噪, 边缘细节保持

Abstract: According to the characteristic of microscopic image, the two-dimensional image data is transformed into one-dimensional array data from horizontal, vertical, + diagonal line, and - the diagonal line four direction, by using different threshold value on the different wavelet decomposition high frequency coefficient on the different wavelet decomposition, enhancing the processed coefficient and changing one- dimensional array data into two-dimensional image data for obtaining de-noise image after inversing wavelet transform and calculating on four two-dimensional pictures by unequal coefficient. Simulation experiment is done with microscopic image which gets from atomic force Microscope. 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-thresholded de-noised algorithm

Key words: wavelet transform, microscopic image, de-noised, edge detail maintenance