{"title":"New method of compensation the out-of-focus defect introduced by the optical system of a micro-camera","authors":"H. Ghennioui, Mohamed El-Kamili","doi":"10.1109/WINCOM50532.2020.9272505","DOIUrl":null,"url":null,"abstract":"This work addresses the problem of the out-of-focus defect introduced by the optical system of a micro-camera. We present a new image deblurring technique: it combines a new out-of-focus blur estimation with the modified Wiener filter. The proposed technique consists then of two steps. The first one allows to estimate the point-spread-function of the optical system by the iterative Newton-Raphson algorithm, however the second one consists to recover the image by the modified Wiener filter: the classical Wiener filter is adjusted by using the proposed blur measurement metric. The main advantage of the proposed technique is that it's no-reference (the blur measurement doesn't need the original image as reference and the deblurring image algorithm is blind). Computer simulations are provided in order to illustrate the effectiveness of the proposed approach. A comparison with a classical Wiener filter is also performed, emphasizing the good behavior of the proposed method.","PeriodicalId":283907,"journal":{"name":"2020 8th International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 8th International Conference on Wireless Networks and Mobile Communications (WINCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WINCOM50532.2020.9272505","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
This work addresses the problem of the out-of-focus defect introduced by the optical system of a micro-camera. We present a new image deblurring technique: it combines a new out-of-focus blur estimation with the modified Wiener filter. The proposed technique consists then of two steps. The first one allows to estimate the point-spread-function of the optical system by the iterative Newton-Raphson algorithm, however the second one consists to recover the image by the modified Wiener filter: the classical Wiener filter is adjusted by using the proposed blur measurement metric. The main advantage of the proposed technique is that it's no-reference (the blur measurement doesn't need the original image as reference and the deblurring image algorithm is blind). Computer simulations are provided in order to illustrate the effectiveness of the proposed approach. A comparison with a classical Wiener filter is also performed, emphasizing the good behavior of the proposed method.