Abstract
Image in the process of collection and storage can produce noise. Wavelet threshold de-noising is a method to remove noise effectively. The threshold function is a key in wavelet threshold de-noising method. In view of the hard-threshold function discontinuity and soft-threshold function deviation problem, through the analysis of the existing wavelet threshold de-noising methods, we present the improvement de-noising method of threshold function with the parameters in adjustable. Through experiments, we compare our method with the existing methods of wavelet threshold de-noising. In terms of the evaluation criteria, we find that the improved method of threshold function can remove the noise effectively.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
