An improved bilateral filtering algorithm having the ability to remove salt-and-pepper noise
ZHOU Hang
HAN Quan
Abstract：In allusion to the feature of bilateral filter having not the ability to remove salt-and-pepper noise,this paper proposes a adaptive template replacement algorithm,which firstly replaces the pixel value of bilateral filtering template areas and then bilateral filtering can be made for the replaced template areas to have the ability to remove the salt-and-pepper noise when equipped with the capacity of removing low-frequency noise while remaining edge with bilateral filtering.The experimental results show that improved bilateral filtering algorithm can remove salt-andpepper noise well,and compared with several classical algorithms having the ability to remove salt-and-pepper noise,the average value of PSNR calculated by the proposed algorithm has been improved more than 5.8％ and the average value of SSIM has been enhanced more than 2.75％ under the condition of 10％～90％ of noise density.
Keywords：image processingbilateral filteringtemplate replacementsalt-and-pepper noise
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 43-51 )