Image de-noising algorithm study and realization based on wavelet analysis
Yulin Zhang, Xia Zhu · 2010
When collecting image from imaging system, the image we collect are blur and the information missed because of the collecting processes. The algorithm based on wavelet analysis which we have introduced does not need any transcendental information of the image, and does not depend on the image size to estimate the de-nosing limits, and even does not need the information of square difference, has the function to reduce image noise blindly. The edges of the image and texture characters de-noised by the algorithm based on Wavelet analysis are more enhances than low-through filter and the de-noising effects of the algorithm based on wavelet analysis are also very good.