{"title":"改进的高级图像编码","authors":"Zhengbing Zhang, R. Veerla, K. Rao","doi":"10.1109/CANS.2008.21","DOIUrl":null,"url":null,"abstract":"JPEG is a popular DCT-based still image compression standard, which has played an important role in image storage and transmission since its development. Several papers have been published to improve the performance of JPEG. Advanced image coding (AIC) combines intra frame block prediction from H.264 with a JPEG-style DCT, followed by context adaptive binary arithmetic coding (CABAC) used in H.264. It performs much better than JPEG and close to JPEG-2000. In this paper, we propose a modified AIC (M-AIC) by replacing the CABAC in AIC with a Huffman coder and an adaptive arithmetic coder. The simulation results demonstrate that M-AIC performs much better than JPEG, close to JPEG-2000 and AIC, and a little bit better than AIC in some low bit rate range.","PeriodicalId":50026,"journal":{"name":"Journal of Systems Science & Complexity","volume":"9 1","pages":"110-116"},"PeriodicalIF":2.6000,"publicationDate":"2008-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Modified Advanced Image Coding\",\"authors\":\"Zhengbing Zhang, R. Veerla, K. Rao\",\"doi\":\"10.1109/CANS.2008.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"JPEG is a popular DCT-based still image compression standard, which has played an important role in image storage and transmission since its development. Several papers have been published to improve the performance of JPEG. Advanced image coding (AIC) combines intra frame block prediction from H.264 with a JPEG-style DCT, followed by context adaptive binary arithmetic coding (CABAC) used in H.264. It performs much better than JPEG and close to JPEG-2000. In this paper, we propose a modified AIC (M-AIC) by replacing the CABAC in AIC with a Huffman coder and an adaptive arithmetic coder. The simulation results demonstrate that M-AIC performs much better than JPEG, close to JPEG-2000 and AIC, and a little bit better than AIC in some low bit rate range.\",\"PeriodicalId\":50026,\"journal\":{\"name\":\"Journal of Systems Science & Complexity\",\"volume\":\"9 1\",\"pages\":\"110-116\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2008-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Systems Science & Complexity\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1109/CANS.2008.21\",\"RegionNum\":3,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems Science & Complexity","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1109/CANS.2008.21","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
JPEG is a popular DCT-based still image compression standard, which has played an important role in image storage and transmission since its development. Several papers have been published to improve the performance of JPEG. Advanced image coding (AIC) combines intra frame block prediction from H.264 with a JPEG-style DCT, followed by context adaptive binary arithmetic coding (CABAC) used in H.264. It performs much better than JPEG and close to JPEG-2000. In this paper, we propose a modified AIC (M-AIC) by replacing the CABAC in AIC with a Huffman coder and an adaptive arithmetic coder. The simulation results demonstrate that M-AIC performs much better than JPEG, close to JPEG-2000 and AIC, and a little bit better than AIC in some low bit rate range.
期刊介绍:
The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are:
complex systems,
systems control,
operations research for complex systems,
economic and financial systems analysis,
statistics and data science,
computer mathematics,
systems security, coding theory and crypto-systems,
other topics related to systems science.