Abstract: When traditional denoising methods are used to deal with the image interfered by high intensity noise,the noise can not be removed effectively and secondary pollution is easily introduced in the repair process.In order to solve this problem, a kind of marginal figure oriented non-local means filtering algorithm is proposed.First of all, the second order difference edge information is obtained, and similar blocks within the scope of the non-local is searched. Then, the edge guided image and noise image are both used to generate filter weights, so that the edge information oriented non-local collaborative filtering framework is constructed. Compared with the local linear filtering method represented by the traditional filtering, the proposed algorithm can explore the edge information of the image and use a new non-local collaborative filtering framework for image denoising enhancing
the edge repair ability under the environment of high intensity noise interference. Experimental results show that under the condition of high intensity noise pollution, the improved image gets higher measurement index, and has better visual effect.

Key words: edge guided image, non-local means, image denoising, high intensity noise