{"title":"利用三角函数增强基于dct的图像压缩","authors":"Mohammed Lotfi Hachemi, M. Omari, Mekki Baroudi","doi":"10.1109/ICCSE1.2018.8374212","DOIUrl":null,"url":null,"abstract":"With the explosion use of multimedia in this millennium, image compression became indispensable for information technology users. It is a class of techniques that comes to efficiently store and transmit images while maintaining the best possible quality. Several software and methods respond to this problem of compression by maintaining a good balance between compression ratio and reconstructed image quality. In this paper, we present an approach that uses trigonometric functions combined with the famous DCT transform. Our aim is to utilize the arcsine reductive property and explore it better to gain more compression. Our experimental results showed a clear enhancement over the original DCT. Moreover, our method outperforms JPEG and JPEG2000 regarding compression ratio as well as the PSNR.","PeriodicalId":383579,"journal":{"name":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Enhancement of DCT-Based Image Compression Using Trigonometric Functions\",\"authors\":\"Mohammed Lotfi Hachemi, M. Omari, Mekki Baroudi\",\"doi\":\"10.1109/ICCSE1.2018.8374212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the explosion use of multimedia in this millennium, image compression became indispensable for information technology users. It is a class of techniques that comes to efficiently store and transmit images while maintaining the best possible quality. Several software and methods respond to this problem of compression by maintaining a good balance between compression ratio and reconstructed image quality. In this paper, we present an approach that uses trigonometric functions combined with the famous DCT transform. Our aim is to utilize the arcsine reductive property and explore it better to gain more compression. Our experimental results showed a clear enhancement over the original DCT. Moreover, our method outperforms JPEG and JPEG2000 regarding compression ratio as well as the PSNR.\",\"PeriodicalId\":383579,\"journal\":{\"name\":\"2018 International Conference on Computing Sciences and Engineering (ICCSE)\",\"volume\":\"128 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Computing Sciences and Engineering (ICCSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSE1.2018.8374212\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE1.2018.8374212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancement of DCT-Based Image Compression Using Trigonometric Functions
With the explosion use of multimedia in this millennium, image compression became indispensable for information technology users. It is a class of techniques that comes to efficiently store and transmit images while maintaining the best possible quality. Several software and methods respond to this problem of compression by maintaining a good balance between compression ratio and reconstructed image quality. In this paper, we present an approach that uses trigonometric functions combined with the famous DCT transform. Our aim is to utilize the arcsine reductive property and explore it better to gain more compression. Our experimental results showed a clear enhancement over the original DCT. Moreover, our method outperforms JPEG and JPEG2000 regarding compression ratio as well as the PSNR.