关键词: 图像去噪, 引导滤波, 全变分模型, 边界保持, 滤波核

Abstract: In guided filtering, a guided image with good structure is needed. However, when noise level is high, the structure and edges in guided image are damaged. In this case, it can not provide efficient guided information and the denoising effect is not as good as expected. The classical total variational model can preserve structure and edges while producing piecewise constant image. It is a good choice for guided image. In this paper, it proposes a new image denoising approach by combining total variational model and guided filtering. The noisy image is processed firstly by total variational model and then it serves as the guided image of the guided filtering. To avoid staircase effect introducing by total variational model, an iteration strategy is used. Experimental results show that the proposed method can effectively remove noises, preserve more details and relieve the staircase effect.

Key words: image denoising, guided filtering, total variational model, edge preserving, filter kernel