{"title":"实验在简单的一维有损图像压缩方案","authors":"Joseph Modayil, Howard Cheng, Xiaobo Li","doi":"10.1109/MMCS.1997.609782","DOIUrl":null,"url":null,"abstract":"The paper examines some one-dimensional lossy image compression schemes. To perform one-dimensional compression, an image is scanned into a one-dimensional array which is then compressed. Three types of scanning are considered: raster scan, Hilbert scan, and binary scan. Hilbert and binary scan are found to outperform raster scan. The methods considered for compression are integer wavelet transforms, a piecewise approximation with triggers (PAT) procedure introduced by Walach and Karnin (1986), and a modified PAT algorithm (MPAT). Wavelets outperform MPAT in compression, and MPAT in turn outperforms PAT; however, MPAT and PAT are computationally far simpler than wavelet transforms.","PeriodicalId":302885,"journal":{"name":"Proceedings of IEEE International Conference on Multimedia Computing and Systems","volume":"517 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Experiments in simple one-dimensional lossy image compression schemes\",\"authors\":\"Joseph Modayil, Howard Cheng, Xiaobo Li\",\"doi\":\"10.1109/MMCS.1997.609782\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper examines some one-dimensional lossy image compression schemes. To perform one-dimensional compression, an image is scanned into a one-dimensional array which is then compressed. Three types of scanning are considered: raster scan, Hilbert scan, and binary scan. Hilbert and binary scan are found to outperform raster scan. The methods considered for compression are integer wavelet transforms, a piecewise approximation with triggers (PAT) procedure introduced by Walach and Karnin (1986), and a modified PAT algorithm (MPAT). Wavelets outperform MPAT in compression, and MPAT in turn outperforms PAT; however, MPAT and PAT are computationally far simpler than wavelet transforms.\",\"PeriodicalId\":302885,\"journal\":{\"name\":\"Proceedings of IEEE International Conference on Multimedia Computing and Systems\",\"volume\":\"517 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE International Conference on Multimedia Computing and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMCS.1997.609782\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE International Conference on Multimedia Computing and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMCS.1997.609782","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Experiments in simple one-dimensional lossy image compression schemes
The paper examines some one-dimensional lossy image compression schemes. To perform one-dimensional compression, an image is scanned into a one-dimensional array which is then compressed. Three types of scanning are considered: raster scan, Hilbert scan, and binary scan. Hilbert and binary scan are found to outperform raster scan. The methods considered for compression are integer wavelet transforms, a piecewise approximation with triggers (PAT) procedure introduced by Walach and Karnin (1986), and a modified PAT algorithm (MPAT). Wavelets outperform MPAT in compression, and MPAT in turn outperforms PAT; however, MPAT and PAT are computationally far simpler than wavelet transforms.