{"title":"基于Haar小波变换的软阈值热图像去噪","authors":"V. Nancy, G. Balakrishnan","doi":"10.14299/ijser.2021.12.02","DOIUrl":null,"url":null,"abstract":"The concept of thermal imaging is inspiring the attention of many researchers, corporate companies and medical fields recently owing to its wide applications. The thermal camera captures the image of an object irrespective of the lighting condition. It can even picture the object in the dark environment, which is an added advantage. As a result, we can use the thermal image for object detection and classification process.","PeriodicalId":14354,"journal":{"name":"International journal of scientific and engineering research","volume":"58 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"De-Noising Thermal Image Based On Haar Wavelet Transform Using Soft Threshold Technique\",\"authors\":\"V. Nancy, G. Balakrishnan\",\"doi\":\"10.14299/ijser.2021.12.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The concept of thermal imaging is inspiring the attention of many researchers, corporate companies and medical fields recently owing to its wide applications. The thermal camera captures the image of an object irrespective of the lighting condition. It can even picture the object in the dark environment, which is an added advantage. As a result, we can use the thermal image for object detection and classification process.\",\"PeriodicalId\":14354,\"journal\":{\"name\":\"International journal of scientific and engineering research\",\"volume\":\"58 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of scientific and engineering research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14299/ijser.2021.12.02\",\"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 scientific and engineering research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14299/ijser.2021.12.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
De-Noising Thermal Image Based On Haar Wavelet Transform Using Soft Threshold Technique
The concept of thermal imaging is inspiring the attention of many researchers, corporate companies and medical fields recently owing to its wide applications. The thermal camera captures the image of an object irrespective of the lighting condition. It can even picture the object in the dark environment, which is an added advantage. As a result, we can use the thermal image for object detection and classification process.