{"title":"树莓派在图像压缩中的实时应用","authors":"S. Sahitya, H. Lokesha, L. K. Sudha","doi":"10.1109/RTEICT.2016.7807990","DOIUrl":null,"url":null,"abstract":"An image contains large amount of digital data and it is necessary to reduce digital data volume for transmission and preservation by using image compression. This paper mainly concentrates on image compression using Raspberry Pi processor which helps to preserve large number of images and in retaining its quality. Raspberry Pi processor allows the implementation of most widely used 2-D Discrete Cosine Transform (DCT) compression method to give the Joint Photographic Experts Group (JPEG) format using Open CV platform. JPEG compression algorithm is used to compress the full-color still images which give good human visual perception (HVP) after the compression. Experimental results give the high quality compressed images and it is compared with different quality factors. Implementation of image compression on Raspberry Pi has its real time application of Micro Air Vehicles (MAVs). The proposed method helps MAVs to store large number of images captured by it.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"8 1","pages":"1047-1050"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Real time application of Raspberry Pi in compression of images\",\"authors\":\"S. Sahitya, H. Lokesha, L. K. Sudha\",\"doi\":\"10.1109/RTEICT.2016.7807990\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An image contains large amount of digital data and it is necessary to reduce digital data volume for transmission and preservation by using image compression. This paper mainly concentrates on image compression using Raspberry Pi processor which helps to preserve large number of images and in retaining its quality. Raspberry Pi processor allows the implementation of most widely used 2-D Discrete Cosine Transform (DCT) compression method to give the Joint Photographic Experts Group (JPEG) format using Open CV platform. JPEG compression algorithm is used to compress the full-color still images which give good human visual perception (HVP) after the compression. Experimental results give the high quality compressed images and it is compared with different quality factors. Implementation of image compression on Raspberry Pi has its real time application of Micro Air Vehicles (MAVs). The proposed method helps MAVs to store large number of images captured by it.\",\"PeriodicalId\":6527,\"journal\":{\"name\":\"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)\",\"volume\":\"8 1\",\"pages\":\"1047-1050\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTEICT.2016.7807990\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTEICT.2016.7807990","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real time application of Raspberry Pi in compression of images
An image contains large amount of digital data and it is necessary to reduce digital data volume for transmission and preservation by using image compression. This paper mainly concentrates on image compression using Raspberry Pi processor which helps to preserve large number of images and in retaining its quality. Raspberry Pi processor allows the implementation of most widely used 2-D Discrete Cosine Transform (DCT) compression method to give the Joint Photographic Experts Group (JPEG) format using Open CV platform. JPEG compression algorithm is used to compress the full-color still images which give good human visual perception (HVP) after the compression. Experimental results give the high quality compressed images and it is compared with different quality factors. Implementation of image compression on Raspberry Pi has its real time application of Micro Air Vehicles (MAVs). The proposed method helps MAVs to store large number of images captured by it.