{"title":"Image Deblurring with Impulse Noise Using Alternating Direction Method of Multipliers and Lucy-Richardson Method","authors":"Usha P. Tigga, Jaimala Jha","doi":"10.1109/CICN.2016.52","DOIUrl":null,"url":null,"abstract":"In this paper, two different schemes are proposed to add noise in the image. Gaussian Filter or Average Filter has been proposed for blurring the image. Impulse noise is used in two terms namely, salt and pepper (SNP) and random noise (RN). Apply median filter for removing white noise. Switching median filter (SMF) for removing black noise. Using the alternating direction method of multipliers (ADMM) with a Lucy richardson algorithm for restoring original image. Noise robustness of the proposed scheme is tested with different noise strengths. The visual as well as the peak signal to noise ratio(PSNR in dB) of restored pictures are compared with competent recent schemes.","PeriodicalId":189849,"journal":{"name":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN.2016.52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, two different schemes are proposed to add noise in the image. Gaussian Filter or Average Filter has been proposed for blurring the image. Impulse noise is used in two terms namely, salt and pepper (SNP) and random noise (RN). Apply median filter for removing white noise. Switching median filter (SMF) for removing black noise. Using the alternating direction method of multipliers (ADMM) with a Lucy richardson algorithm for restoring original image. Noise robustness of the proposed scheme is tested with different noise strengths. The visual as well as the peak signal to noise ratio(PSNR in dB) of restored pictures are compared with competent recent schemes.