{"title":"基于非线性二阶和四阶扩散的混合图像插值技术","authors":"T. Barbu","doi":"10.1109/ISSCS.2017.8034863","DOIUrl":null,"url":null,"abstract":"A novel compound image inpainting approach is proposed in this paper. We consider a variational interpolation model based on nonlinear second-order and fourth-order diffusions. A well-posed nonlinear PDE-based model is then derived from the variational scheme. It is then discretized by using an iterative finite-difference based numerical approximation scheme. The proposed reconstruction technique works successfully in noisy conditions and also overcomes the unintended effects.","PeriodicalId":338255,"journal":{"name":"2017 International Symposium on Signals, Circuits and Systems (ISSCS)","volume":"2 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Hybrid image interpolation technique based on nonlinear second and fourth-order diffusions\",\"authors\":\"T. Barbu\",\"doi\":\"10.1109/ISSCS.2017.8034863\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel compound image inpainting approach is proposed in this paper. We consider a variational interpolation model based on nonlinear second-order and fourth-order diffusions. A well-posed nonlinear PDE-based model is then derived from the variational scheme. It is then discretized by using an iterative finite-difference based numerical approximation scheme. The proposed reconstruction technique works successfully in noisy conditions and also overcomes the unintended effects.\",\"PeriodicalId\":338255,\"journal\":{\"name\":\"2017 International Symposium on Signals, Circuits and Systems (ISSCS)\",\"volume\":\"2 11\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Symposium on Signals, Circuits and Systems (ISSCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCS.2017.8034863\",\"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 International Symposium on Signals, Circuits and Systems (ISSCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCS.2017.8034863","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hybrid image interpolation technique based on nonlinear second and fourth-order diffusions
A novel compound image inpainting approach is proposed in this paper. We consider a variational interpolation model based on nonlinear second-order and fourth-order diffusions. A well-posed nonlinear PDE-based model is then derived from the variational scheme. It is then discretized by using an iterative finite-difference based numerical approximation scheme. The proposed reconstruction technique works successfully in noisy conditions and also overcomes the unintended effects.
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