{"title":"A Semi-Lossless Image Compression Procedure using a Lossless Mode of JPEG","authors":"Md.Atiqur Rahman, Mohamed Hamada","doi":"10.1109/MCSoC.2019.00028","DOIUrl":null,"url":null,"abstract":"Day by day, communication through the internet is progressing; particularly video calling for which sending a massive amount of data over the internet and saving on a computer is being a big challenge. For which, there are many compression algorithms; such as block transform, vector quantization and JPEG are used to convert a big dataset in such a format so that it can be sent over the internet at a high speed and stored in a small space in computer. In this paper, a new procedure has been proposed using a lossless mode of JPEG by removing the first and last bits from the exact binary pattern of each pixel which provides a better result than the state-of-the-art techniques. In this technique, the two bits are removed after a little bit preprocessing and then the remaining binary pattern is replaced by a fixed value each. Lastly, average code word, compression ratio and PSNR are used to assess the performance of the proposed procedure with the state-of-the-art techniques. From the experimental results, it looks that the proposed procedure provides better results than the state-of-the-art techniques.","PeriodicalId":104240,"journal":{"name":"2019 IEEE 13th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 13th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCSoC.2019.00028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Day by day, communication through the internet is progressing; particularly video calling for which sending a massive amount of data over the internet and saving on a computer is being a big challenge. For which, there are many compression algorithms; such as block transform, vector quantization and JPEG are used to convert a big dataset in such a format so that it can be sent over the internet at a high speed and stored in a small space in computer. In this paper, a new procedure has been proposed using a lossless mode of JPEG by removing the first and last bits from the exact binary pattern of each pixel which provides a better result than the state-of-the-art techniques. In this technique, the two bits are removed after a little bit preprocessing and then the remaining binary pattern is replaced by a fixed value each. Lastly, average code word, compression ratio and PSNR are used to assess the performance of the proposed procedure with the state-of-the-art techniques. From the experimental results, it looks that the proposed procedure provides better results than the state-of-the-art techniques.