{"title":"一种改进的基于样本的错误隐藏图像绘制算法","authors":"Hwang Byongsu, Jo Jonghyon, Ri Cholsu","doi":"10.21917/IJIVP.2017.0223","DOIUrl":null,"url":null,"abstract":"Error concealment is an important technique to improve the video quality in case that the video frame is corrupted during transmission. A spatial error concealment algorithm based on the improved exemplar-based image inpainting is presented. Each corrupted macroblock is separated into sixteen 4×4 blocks, and a 4×4 block-based image inpainting is used for error concealment. In the exemplar-based inpainting process the best matching patch is determined by calculating the weighted sum of squared differences for the available patch regions which includes already concealed blocks. Experimental results show that our proposed method achieves better quality in terms of objective and subjective evaluations compared with the previous algorithms.","PeriodicalId":30615,"journal":{"name":"ICTACT Journal on Image and Video Processing","volume":"8 1","pages":"1583-1587"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"AN IMPROVED EXEMPLAR-BASED IMAGE INPAINTING ALGORITHM FOR ERROR CONCEALMENT\",\"authors\":\"Hwang Byongsu, Jo Jonghyon, Ri Cholsu\",\"doi\":\"10.21917/IJIVP.2017.0223\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Error concealment is an important technique to improve the video quality in case that the video frame is corrupted during transmission. A spatial error concealment algorithm based on the improved exemplar-based image inpainting is presented. Each corrupted macroblock is separated into sixteen 4×4 blocks, and a 4×4 block-based image inpainting is used for error concealment. In the exemplar-based inpainting process the best matching patch is determined by calculating the weighted sum of squared differences for the available patch regions which includes already concealed blocks. Experimental results show that our proposed method achieves better quality in terms of objective and subjective evaluations compared with the previous algorithms.\",\"PeriodicalId\":30615,\"journal\":{\"name\":\"ICTACT Journal on Image and Video Processing\",\"volume\":\"8 1\",\"pages\":\"1583-1587\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICTACT Journal on Image and Video Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21917/IJIVP.2017.0223\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICTACT Journal on Image and Video Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21917/IJIVP.2017.0223","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
AN IMPROVED EXEMPLAR-BASED IMAGE INPAINTING ALGORITHM FOR ERROR CONCEALMENT
Error concealment is an important technique to improve the video quality in case that the video frame is corrupted during transmission. A spatial error concealment algorithm based on the improved exemplar-based image inpainting is presented. Each corrupted macroblock is separated into sixteen 4×4 blocks, and a 4×4 block-based image inpainting is used for error concealment. In the exemplar-based inpainting process the best matching patch is determined by calculating the weighted sum of squared differences for the available patch regions which includes already concealed blocks. Experimental results show that our proposed method achieves better quality in terms of objective and subjective evaluations compared with the previous algorithms.