{"title":"在大型和可扩展图像的插值机制的增强","authors":"A. Ramesh, A. Karpagam, M. Manikandan","doi":"10.1109/ICSCN.2017.8085683","DOIUrl":null,"url":null,"abstract":"This paper focus on enhancement of interpolation mechanism. Reconstruction of the high-resolutionimage is proposed using interpolation method for large and scalable Synthetic Aperture Radar (SAR). Image interpolation techniques are implemented in SAR imaging for enhancing Region of Interest. Block Region of Interest (B-ROI) technique is proposed for huge and adaptable image reproduction and it gives a successful standard to dividing, which portions the yield image into block in view of the ROI in the source image. Interpolation based on block region of interest reduces the computational complexity and the simulation results show that the interpolation quality is highly related to its inherent complexity. This paper is aimed to produce ROI image region without blur. Validation of interpolation techniques is observed through various parameter obtained from experimental simulation results on MATLAB.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancement of interpolation mechanism in large and scalable images\",\"authors\":\"A. Ramesh, A. Karpagam, M. Manikandan\",\"doi\":\"10.1109/ICSCN.2017.8085683\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focus on enhancement of interpolation mechanism. Reconstruction of the high-resolutionimage is proposed using interpolation method for large and scalable Synthetic Aperture Radar (SAR). Image interpolation techniques are implemented in SAR imaging for enhancing Region of Interest. Block Region of Interest (B-ROI) technique is proposed for huge and adaptable image reproduction and it gives a successful standard to dividing, which portions the yield image into block in view of the ROI in the source image. Interpolation based on block region of interest reduces the computational complexity and the simulation results show that the interpolation quality is highly related to its inherent complexity. This paper is aimed to produce ROI image region without blur. Validation of interpolation techniques is observed through various parameter obtained from experimental simulation results on MATLAB.\",\"PeriodicalId\":383458,\"journal\":{\"name\":\"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCN.2017.8085683\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCN.2017.8085683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancement of interpolation mechanism in large and scalable images
This paper focus on enhancement of interpolation mechanism. Reconstruction of the high-resolutionimage is proposed using interpolation method for large and scalable Synthetic Aperture Radar (SAR). Image interpolation techniques are implemented in SAR imaging for enhancing Region of Interest. Block Region of Interest (B-ROI) technique is proposed for huge and adaptable image reproduction and it gives a successful standard to dividing, which portions the yield image into block in view of the ROI in the source image. Interpolation based on block region of interest reduces the computational complexity and the simulation results show that the interpolation quality is highly related to its inherent complexity. This paper is aimed to produce ROI image region without blur. Validation of interpolation techniques is observed through various parameter obtained from experimental simulation results on MATLAB.