{"title":"卡尔曼-维纳滤波对空间变运动模糊图像恢复方法的效果比较","authors":"Anita Thakur, Adiba Kausar, Ariz Iqbal","doi":"10.1109/CONFLUENCE.2016.7508173","DOIUrl":null,"url":null,"abstract":"Environment and circumstances are affected the visual quality of recorded images. As no devices are perfect so consequently imaging technology is recorded degrade image. Most of imaging system has a limited resolution and not crucial speed at which images can be recorded. So that, most of images are suffered by motion blur degradations and noise. Distortion in images are not same in whole image which depend on location of pixel in image that type of distortion are space variant type. This paper presenting comparative study of restoration method for space variant motion blurred images using Kalman and Wiener filter. The comparison of performance of method is verified using improvement in signal to noise ratio (ISNR).","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Comparison efficacy of restoration method for space variant motion blurred images using kalman & wiener filter\",\"authors\":\"Anita Thakur, Adiba Kausar, Ariz Iqbal\",\"doi\":\"10.1109/CONFLUENCE.2016.7508173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Environment and circumstances are affected the visual quality of recorded images. As no devices are perfect so consequently imaging technology is recorded degrade image. Most of imaging system has a limited resolution and not crucial speed at which images can be recorded. So that, most of images are suffered by motion blur degradations and noise. Distortion in images are not same in whole image which depend on location of pixel in image that type of distortion are space variant type. This paper presenting comparative study of restoration method for space variant motion blurred images using Kalman and Wiener filter. The comparison of performance of method is verified using improvement in signal to noise ratio (ISNR).\",\"PeriodicalId\":299044,\"journal\":{\"name\":\"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONFLUENCE.2016.7508173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONFLUENCE.2016.7508173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison efficacy of restoration method for space variant motion blurred images using kalman & wiener filter
Environment and circumstances are affected the visual quality of recorded images. As no devices are perfect so consequently imaging technology is recorded degrade image. Most of imaging system has a limited resolution and not crucial speed at which images can be recorded. So that, most of images are suffered by motion blur degradations and noise. Distortion in images are not same in whole image which depend on location of pixel in image that type of distortion are space variant type. This paper presenting comparative study of restoration method for space variant motion blurred images using Kalman and Wiener filter. The comparison of performance of method is verified using improvement in signal to noise ratio (ISNR).