Image denoising feedback framework using split Bregman approach

作者：

Highlights：

• An image denoising feedback framework using split Bregman method is proposed.

• A feedback function is used in an iterative manner to minimize the error.

• In the denoising process, the proposed method preserves edges affected by the noise.

• The proposed method is tested on both color and range images.

摘要

•An image denoising feedback framework using split Bregman method is proposed.•A feedback function is used in an iterative manner to minimize the error.•In the denoising process, the proposed method preserves edges affected by the noise.•The proposed method is tested on both color and range images.

论文关键词：Image denoising,Split Bregman,Bilateral filtering,Image derivative,Color image,Range image

论文评审过程：Received 10 March 2017, Revised 10 June 2017, Accepted 11 June 2017, Available online 16 June 2017, Version of Record 21 June 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.06.015