Image Denoising Research Based on the Improved PCNN Model and the Absolute Minimum Filtering Algorithm for Square Difference
YU Yi-bi · Journal of Wuyi University · 2015
In order to better remove image noise,a Four-Directional Minimal Absolute Difference Filtering algorithm is proposed based on the contours and edge continuity of images.Simulation experiments show that compared with the traditional median filtering method based on iterative pulse coupled neural network,the proposed algorithm has better denoising effect and faster calculation speed.The experiment results verified the fastness and effectiveness and of the Four-Directional Minimal Absolute Difference Filtering algorithm,which has broad application prospects.