A. Hazarathaiah, Dharani Udayabhanu, Anukupalli Anjali, Biruduraju Nymisha, Borra Prathyusha
{"title":"一种基于稀疏编码的最优训练方案","authors":"A. Hazarathaiah, Dharani Udayabhanu, Anukupalli Anjali, Biruduraju Nymisha, Borra Prathyusha","doi":"10.58482/ijeresm.v1i2.2","DOIUrl":null,"url":null,"abstract":"Rain streak removal is a challenging and interesting task of image processing where the rain streaks will be removed from an image with rain streaks. In the literature, a large number of proposals are made where rain streak removal is considered as image enhancement or denoising. In this paper, a model of rain streak removal was proposed using sparse coding. First the regularization terms of the rain streak removal are defined. Then, a suitable dictionary of sub- dictionary with respect to specific patch of input rainy image are prepared. Finally, the Sparse code is applied on the patches of input image individually. The simulation results prove that the proposed technique performs very well even if the raindrop size is above a certain threshold.","PeriodicalId":351005,"journal":{"name":"International Journal of Emerging Research in Engineering, Science, and Management","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Optimum Deraining Scheme using Sparse Coding\",\"authors\":\"A. Hazarathaiah, Dharani Udayabhanu, Anukupalli Anjali, Biruduraju Nymisha, Borra Prathyusha\",\"doi\":\"10.58482/ijeresm.v1i2.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rain streak removal is a challenging and interesting task of image processing where the rain streaks will be removed from an image with rain streaks. In the literature, a large number of proposals are made where rain streak removal is considered as image enhancement or denoising. In this paper, a model of rain streak removal was proposed using sparse coding. First the regularization terms of the rain streak removal are defined. Then, a suitable dictionary of sub- dictionary with respect to specific patch of input rainy image are prepared. Finally, the Sparse code is applied on the patches of input image individually. The simulation results prove that the proposed technique performs very well even if the raindrop size is above a certain threshold.\",\"PeriodicalId\":351005,\"journal\":{\"name\":\"International Journal of Emerging Research in Engineering, Science, and Management\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Emerging Research in Engineering, Science, and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.58482/ijeresm.v1i2.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Emerging Research in Engineering, Science, and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58482/ijeresm.v1i2.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rain streak removal is a challenging and interesting task of image processing where the rain streaks will be removed from an image with rain streaks. In the literature, a large number of proposals are made where rain streak removal is considered as image enhancement or denoising. In this paper, a model of rain streak removal was proposed using sparse coding. First the regularization terms of the rain streak removal are defined. Then, a suitable dictionary of sub- dictionary with respect to specific patch of input rainy image are prepared. Finally, the Sparse code is applied on the patches of input image individually. The simulation results prove that the proposed technique performs very well even if the raindrop size is above a certain threshold.