{"title":"Image enhancement via space-adaptive lifting scheme using spatial domain adaptive Wiener filter","authors":"H. Tasmaz, E. Erçelebi","doi":"10.1109/ISPA.2009.5297725","DOIUrl":null,"url":null,"abstract":"This paper proposes an image enhancement method which is based on space-adaptive lifting scheme. The space-adaptive lifting scheme is designed with update-first strategy and the spatial domain adaptive Wiener filter is used for subband image enhancement. The space-adaptive lifting scheme is superior to the scale-adaptive one in that, the prediction stage is adapted to the signal structure pixel-by-pixel (not scale-by-scale) which results in a better signal representation and better image enhancement. A novel adaptive prediction method is proposed in the 2D lifting scheme. The method adaptively chooses the best prediction filter (predictor), among a set of predictors, based on minimizing the prediction error (or detail coefficient). The experimental results and objective quality test results prove the accomplishment of the proposed image enhancement method.","PeriodicalId":382753,"journal":{"name":"2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPA.2009.5297725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper proposes an image enhancement method which is based on space-adaptive lifting scheme. The space-adaptive lifting scheme is designed with update-first strategy and the spatial domain adaptive Wiener filter is used for subband image enhancement. The space-adaptive lifting scheme is superior to the scale-adaptive one in that, the prediction stage is adapted to the signal structure pixel-by-pixel (not scale-by-scale) which results in a better signal representation and better image enhancement. A novel adaptive prediction method is proposed in the 2D lifting scheme. The method adaptively chooses the best prediction filter (predictor), among a set of predictors, based on minimizing the prediction error (or detail coefficient). The experimental results and objective quality test results prove the accomplishment of the proposed image enhancement method.