Improved Non-local Means Infrared Image Filtering Algorithm Based on NSCT
HAN Hong-guang;Basic Teaching Department, Zhejiang Agricultural Business College;
Combined with nonsubsampled contourlet transform, an improved non-local means infrared image filtering algorithm is proposed. Firstly, the infrared image noise is conducted by nonsubsampled contourlet transform. Then, the similarity image block adaptive partition method and weighting calculation method are proposed so as to improve the non-local means filtering algorithm(INLMF) to deal with the high-frequency NSCT coefficients. Thirdly, the high-frequency NSCT coefficients after filtering and low-frequency NSCT coefficients are reconstructed and the denoised image is obtained. Finally, the denoised image is processed by the non-negativity and support constraints recursive inverse filtering algorithm(NAS-RIF), so the infrared image of better visual effect is obtained. The experimental results indicated that, the performance of the algorithm in this paper is superior to the already existed improved NLMF algorithm.
【CateGory Index】： TP391.41