{"title":"Image restoration using optical correlation","authors":"M. Alam","doi":"10.1109/NAECON.1998.710208","DOIUrl":null,"url":null,"abstract":"An efficient technique for restoring the original from a blurred image using the concept of fringe-adjusted joint transform. Correlation is proposed. This technique employs Fourier plane apodization using the reference image power spectrum to deblur the distorted image. The performance of the proposed technique has been enhanced significantly by employing the Fourier plane image subtraction especially for noisy input scenes involving multiple objects. The image subtraction technique eliminates the unwanted zero-order term and crosscorrelation terms produced by similar input scene objects while alleviating the effect of noise that may be present in the unknown input scene. Computer simulation results using noise-free and noise corrupted input scenes are presented to verify the performance of the proposed technique.","PeriodicalId":202280,"journal":{"name":"Proceedings of the IEEE 1998 National Aerospace and Electronics Conference. NAECON 1998. Celebrating 50 Years (Cat. No.98CH36185)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE 1998 National Aerospace and Electronics Conference. NAECON 1998. Celebrating 50 Years (Cat. No.98CH36185)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.1998.710208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

An efficient technique for restoring the original from a blurred image using the concept of fringe-adjusted joint transform. Correlation is proposed. This technique employs Fourier plane apodization using the reference image power spectrum to deblur the distorted image. The performance of the proposed technique has been enhanced significantly by employing the Fourier plane image subtraction especially for noisy input scenes involving multiple objects. The image subtraction technique eliminates the unwanted zero-order term and crosscorrelation terms produced by similar input scene objects while alleviating the effect of noise that may be present in the unknown input scene. Computer simulation results using noise-free and noise corrupted input scenes are presented to verify the performance of the proposed technique.
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利用光学相关恢复图像
一种利用条纹调整联合变换的概念从模糊图像中恢复原始图像的有效方法。提出了相关性。该技术利用参考图像功率谱进行傅里叶平面消去,对畸变图像进行去模糊处理。采用傅里叶平面图像减法,特别是在涉及多个目标的噪声输入场景中,该技术的性能得到了显著提高。图像减法技术消除了由相似输入场景对象产生的不需要的零阶项和互相关项,同时减轻了未知输入场景中可能存在的噪声的影响。在无噪声和有噪声的输入场景下进行了计算机仿真,验证了该技术的性能。
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