{"title":"基于CORDIC迭代的低功耗高质量DCT体系结构","authors":"E. Leavline, S. Megala, D. A. A. G. Singh","doi":"10.1109/ICRTIT.2014.6996195","DOIUrl":null,"url":null,"abstract":"Discrete Cosine Transform (DCT) is widely used in image and video compression standards. This paper presents low-power co-ordinate rotation digital computer (CORDIC) based reconfigurable architecture for discrete cosine transform (DCT). All the computations in DCT are not equally important in generating the frequency domain output. Considering the important difference in the DCT coefficients the number of CORDIC iterations can be dynamically changed to reduce the power of consumption with improved image quality. The proposed CORDIC based 2D DCT architecture is simulated using Modelsim and the experimental results show that our reconfigurable DCT achieves power savings with improved image quality.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"431 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"CORDIC iterations based architecture for low power and high quality DCT\",\"authors\":\"E. Leavline, S. Megala, D. A. A. G. Singh\",\"doi\":\"10.1109/ICRTIT.2014.6996195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Discrete Cosine Transform (DCT) is widely used in image and video compression standards. This paper presents low-power co-ordinate rotation digital computer (CORDIC) based reconfigurable architecture for discrete cosine transform (DCT). All the computations in DCT are not equally important in generating the frequency domain output. Considering the important difference in the DCT coefficients the number of CORDIC iterations can be dynamically changed to reduce the power of consumption with improved image quality. The proposed CORDIC based 2D DCT architecture is simulated using Modelsim and the experimental results show that our reconfigurable DCT achieves power savings with improved image quality.\",\"PeriodicalId\":422275,\"journal\":{\"name\":\"2014 International Conference on Recent Trends in Information Technology\",\"volume\":\"431 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Recent Trends in Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRTIT.2014.6996195\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Recent Trends in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTIT.2014.6996195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CORDIC iterations based architecture for low power and high quality DCT
Discrete Cosine Transform (DCT) is widely used in image and video compression standards. This paper presents low-power co-ordinate rotation digital computer (CORDIC) based reconfigurable architecture for discrete cosine transform (DCT). All the computations in DCT are not equally important in generating the frequency domain output. Considering the important difference in the DCT coefficients the number of CORDIC iterations can be dynamically changed to reduce the power of consumption with improved image quality. The proposed CORDIC based 2D DCT architecture is simulated using Modelsim and the experimental results show that our reconfigurable DCT achieves power savings with improved image quality.