{"title":"Chromatic aberration correction in RAW domain for image quality enhancement in image sensor processors","authors":"A. Lluis-Gomez, E. Edirisinghe","doi":"10.1109/ICCP.2012.6356192","DOIUrl":null,"url":null,"abstract":"Taking sharp and high-resolution images usually relies on high quality camera systems. In this paper, we present an approach to correct chromatic aberrations distortions on images caused by imperfect optics. The proposed system relies on a calibration step where the distortion produced by the lens is estimated, followed by a second stage where the image is enhanced. The proposed system works in RAW domain as a pre-processing process to facilitate the demosaicing, and noise reduction process in an image sensor processor (ISP). The results of the proposed method prove that both the lateral and the longitudinal aberrations can be corrected, is computational efficient and also facilitates the functioning of an ISP pipeline producing sharper and less noisy images.","PeriodicalId":406461,"journal":{"name":"2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCP.2012.6356192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Taking sharp and high-resolution images usually relies on high quality camera systems. In this paper, we present an approach to correct chromatic aberrations distortions on images caused by imperfect optics. The proposed system relies on a calibration step where the distortion produced by the lens is estimated, followed by a second stage where the image is enhanced. The proposed system works in RAW domain as a pre-processing process to facilitate the demosaicing, and noise reduction process in an image sensor processor (ISP). The results of the proposed method prove that both the lateral and the longitudinal aberrations can be corrected, is computational efficient and also facilitates the functioning of an ISP pipeline producing sharper and less noisy images.