Improved Image Denoising Algorithm Based on Adaptive Fractional Integral
Yan Ma · Video Engineering · 2014
In order to improve the effect of image denoising,an improved adaptive image denoising algorithm based on fractional integral and median filter is proposed. First of all,the points was detected by the discriminate conditions of adaptive median filter algorithm( ranked-order based adaptive median filter,RAMF). Then use the discriminate function of noise or edgeto do the second detection to those suspicious points. At the same time adaptive fractional order was constructed according to the local statistical information and the structural characteristics. In the end,do the denoising with the fractional integral mask. Compared with the traditional fractional integral denoising algorithm,the experimental results show that the proposed adaptive algorithm can effectively retain the edge points which are filtered in other algorithms when denoising and realize adaptive the fractional integral order. The adaptive algorithm can not only remove the noises largely but also keep the edges and texture details well.