An improved threshold de-noising algorithm based on inter-scale dependency of wavelet

An efficient method based on SSNF algorithm and threshold de-noising to remove the noise in the image is proposed. To the disadvantages of the unified threshold denoising method, which causes the image fuzzy distortion because of “over-killed”, by using inter-scale dependency of wavelets coefficients, some edge information that “overkilled” by the unified threshold are extracted and reserved, Thereby, more image details are reserved. The experiment results show that the algorithm can effectively weaken the unified threshold´s tendency of “over-killed”, and reduce the image fuzzy distortion.