Multi-decision Based Impulse De-noising Algorithm and Hardware Implementation

In real-time video applications,impulse noise is a major factor affecting image quality.In this paper,a new multi-decision based de-noising algorithm is proposed for a better reduction of bipolar impulse noise.The new algorithm uses multi-decision method to obtain the optimal value in the filter window to replace the polluted pixel.Meanwhile,pipeline structure is utilized to improve the characteristics of hardware implementation.The experimental results show that,together with an improvement in robustness,the proposed algorithm has a magnificent de-noising performance for highly polluted images.With low computational complexity and minimized usage of resources in hardware implementation,the proposed algorithm has a full capability to be used in any video application that requires real-time processing.