A fast efficient restoration algorithm for high-noise-ratio image using feature adaptive approach

The video signal is easily interfered with by noise over the wireless system. The well-known "median filter" and its modified methods could completely remove the noise when the noise/image ratio is low. However, as this ratio becomes higher, the filtering performance degrades very fast and much of the noise cannot be removed. To resolve the high-noise problem, we propose a novel adaptive algorithm to efficiently reduce noise without visible distortion. The experimental results show that the proposed methods can attain very high quality in a 50% noise environment. Moreover, this adaptive approach also keeps lower complexity in order to meet real time applications.