Abstract: In order to fine-tune the image while preserving the details of the information and edge information, an image denoising method based on bilateral filter(BF)combined with non-local means filter(NLMF) is proposed. Firstly, the noise image is pre-denoised by non-local means filter with improved weight function. Then the noise image is denoised by bilateral filter with the pixel intensity similarity weight calculated based on pre-denoised image. Meanwhile, two fast algorithm are used to speed up non-local means filter and bilateral filter separately. Experimental results demonstrate that compared with NLMF and BF, our method significantly reduces the computation complexity of algorithms, and has better denoising performance and lesser time consuming. Therefore, this method has a certain practical value for the improvement of image denoising quality.

Key words: non-local means filtering, bilateral filtering, weight function, image denoising