Li-Jie Peng, Chen Jian-jun, Zhixiong Shi, Li Lin, Shi Zhi-yong
{"title":"Image restoration based on illumination correction","authors":"Li-Jie Peng, Chen Jian-jun, Zhixiong Shi, Li Lin, Shi Zhi-yong","doi":"10.1109/ICCIAUTOM.2011.6183954","DOIUrl":null,"url":null,"abstract":"Based on the analysis of resemble degradation character of the observed images, a fast image restoration algorithm using illumination correction is proposed in this paper. First, the fuzzy value of illumination parameters is estimated through fuzzy nonlinear regression method. Then, the whole damaged area can be restored by the whole-illumination correction method. The experimental results show that this algorithm has better ability in restoring both smooth area and edge-contained area. Compared with other image restoration algorithms, this method is better on the restoring time and the restoring effect.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIAUTOM.2011.6183954","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Based on the analysis of resemble degradation character of the observed images, a fast image restoration algorithm using illumination correction is proposed in this paper. First, the fuzzy value of illumination parameters is estimated through fuzzy nonlinear regression method. Then, the whole damaged area can be restored by the whole-illumination correction method. The experimental results show that this algorithm has better ability in restoring both smooth area and edge-contained area. Compared with other image restoration algorithms, this method is better on the restoring time and the restoring effect.