{"title":"块大小对JPEG压缩性能的影响","authors":"P. Miklós, Z. Trpovski","doi":"10.1109/SISY47553.2019.9111506","DOIUrl":null,"url":null,"abstract":"This paper focuses on investigating the block size influence on the performance of the JPEG compression process. Apart from 8x8 blocks, 4x4,16x16 and 32x32 block sizes are also tested. A variable size block division is also investigated. As a quality measure, peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) are calculated. The compression ratios (CR) for each case are compared also.","PeriodicalId":256922,"journal":{"name":"2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Influence of block size on JPEG compression performance\",\"authors\":\"P. Miklós, Z. Trpovski\",\"doi\":\"10.1109/SISY47553.2019.9111506\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on investigating the block size influence on the performance of the JPEG compression process. Apart from 8x8 blocks, 4x4,16x16 and 32x32 block sizes are also tested. A variable size block division is also investigated. As a quality measure, peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) are calculated. The compression ratios (CR) for each case are compared also.\",\"PeriodicalId\":256922,\"journal\":{\"name\":\"2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY)\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SISY47553.2019.9111506\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISY47553.2019.9111506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Influence of block size on JPEG compression performance
This paper focuses on investigating the block size influence on the performance of the JPEG compression process. Apart from 8x8 blocks, 4x4,16x16 and 32x32 block sizes are also tested. A variable size block division is also investigated. As a quality measure, peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) are calculated. The compression ratios (CR) for each case are compared also.