{"title":"数字图像/视频处理算法技术综述","authors":"Daniel Izario, Y. Iano, Bruno Izario, D. Castro","doi":"10.18580/SETIJBE.2018.4","DOIUrl":null,"url":null,"abstract":"This article presents three techniques for applying digital image processing. Unlike conventional techniques, it will be possible to gain in terms of processing time, pixel manipulation, and image quality for database storage. Both techniques have been tested and proven through real images, and can also be applied in video. The algorithms created use JavaScript, Java and Lisp programming languages, combined with mathematical models in the time domain and frequency domain. As an expected result, improvement in digital image processing and performance is sought for future work.","PeriodicalId":270643,"journal":{"name":"SET INTERNATIONAL JOURNAL OF BROADCAST ENGINEERING","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Technical review in digital image/video processing algorithms\",\"authors\":\"Daniel Izario, Y. Iano, Bruno Izario, D. Castro\",\"doi\":\"10.18580/SETIJBE.2018.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents three techniques for applying digital image processing. Unlike conventional techniques, it will be possible to gain in terms of processing time, pixel manipulation, and image quality for database storage. Both techniques have been tested and proven through real images, and can also be applied in video. The algorithms created use JavaScript, Java and Lisp programming languages, combined with mathematical models in the time domain and frequency domain. As an expected result, improvement in digital image processing and performance is sought for future work.\",\"PeriodicalId\":270643,\"journal\":{\"name\":\"SET INTERNATIONAL JOURNAL OF BROADCAST ENGINEERING\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SET INTERNATIONAL JOURNAL OF BROADCAST ENGINEERING\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18580/SETIJBE.2018.4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SET INTERNATIONAL JOURNAL OF BROADCAST ENGINEERING","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18580/SETIJBE.2018.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Technical review in digital image/video processing algorithms
This article presents three techniques for applying digital image processing. Unlike conventional techniques, it will be possible to gain in terms of processing time, pixel manipulation, and image quality for database storage. Both techniques have been tested and proven through real images, and can also be applied in video. The algorithms created use JavaScript, Java and Lisp programming languages, combined with mathematical models in the time domain and frequency domain. As an expected result, improvement in digital image processing and performance is sought for future work.
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