B. K. Sangareddy, T. K. Manasa, B. Lakshmi, B. Harshini, K. Kavya
{"title":"用盲反卷积法恢复模糊视频","authors":"B. K. Sangareddy, T. K. Manasa, B. Lakshmi, B. Harshini, K. Kavya","doi":"10.1109/ICAIT47043.2019.8987256","DOIUrl":null,"url":null,"abstract":"Instability in the atmosphere and incompatibility camera settings leads to blurring of video. Blur of a video is due to the motion of subjects during capturing, quality of lens and improper holding of the camera. The IR cameras usually have a low resolution mostly 160x120 and 320x240 for technical reasons. In this case Image Processing is one of the boons for business, engineering, forensics and medical field to extract the required values from the image data. To resolve this, we introduce an effective method to deblur low resolution videos. First, Blind Deconvolution method is applied to low resolution frames. Then, restored gray frames are converted into RGB images and write each RGB frame into the video object to make a video. The experimental results depict a high resolution video which is the sharpen form of low resolution video.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Restoration of Blur video using Blind Deconvolution Method\",\"authors\":\"B. K. Sangareddy, T. K. Manasa, B. Lakshmi, B. Harshini, K. Kavya\",\"doi\":\"10.1109/ICAIT47043.2019.8987256\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Instability in the atmosphere and incompatibility camera settings leads to blurring of video. Blur of a video is due to the motion of subjects during capturing, quality of lens and improper holding of the camera. The IR cameras usually have a low resolution mostly 160x120 and 320x240 for technical reasons. In this case Image Processing is one of the boons for business, engineering, forensics and medical field to extract the required values from the image data. To resolve this, we introduce an effective method to deblur low resolution videos. First, Blind Deconvolution method is applied to low resolution frames. Then, restored gray frames are converted into RGB images and write each RGB frame into the video object to make a video. The experimental results depict a high resolution video which is the sharpen form of low resolution video.\",\"PeriodicalId\":221994,\"journal\":{\"name\":\"2019 1st International Conference on Advances in Information Technology (ICAIT)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 1st International Conference on Advances in Information Technology (ICAIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIT47043.2019.8987256\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Advances in Information Technology (ICAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIT47043.2019.8987256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Restoration of Blur video using Blind Deconvolution Method
Instability in the atmosphere and incompatibility camera settings leads to blurring of video. Blur of a video is due to the motion of subjects during capturing, quality of lens and improper holding of the camera. The IR cameras usually have a low resolution mostly 160x120 and 320x240 for technical reasons. In this case Image Processing is one of the boons for business, engineering, forensics and medical field to extract the required values from the image data. To resolve this, we introduce an effective method to deblur low resolution videos. First, Blind Deconvolution method is applied to low resolution frames. Then, restored gray frames are converted into RGB images and write each RGB frame into the video object to make a video. The experimental results depict a high resolution video which is the sharpen form of low resolution video.