{"title":"VLSI快速DCTQ-IQIDCT处理器的设计,用于实时图像压缩","authors":"H. Dixit, A. Jeyakumar, Piyush S. Kasat, C. Warty","doi":"10.1109/WOCN.2013.6616258","DOIUrl":null,"url":null,"abstract":"The Discrete Cosine Transform (DCT) is largely used for image and video compression in standards like JPEG and MPEG2. Its simplicity coupled with the fact that it can be computed faster than the Discrete Wavelet Transform (DWT) makes it an attractive option for image and video compression. Consequently a lot of research is in progress to determine novel architectures and algorithms for faster DCT computation having high throughput so that it can even be used for real time applications. For example, when transmitting and receiving videos, which have been compressed using MPEG2, one would like to receive the video, without any buffering delay. In other words, one requires such an architecture, which provides the DCTQ coeffecients at a consistent rate, with very low latency between two coeffecients. As such, a highly parallel and pipelined architecture employing 57 pipeline stages and using fast multipliers and adders is proposed in this work. The proposed DCT Processor is implemented in Spartan 3E FPGA.","PeriodicalId":388309,"journal":{"name":"2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"VLSI design of fast DCTQ-IQIDCT processor for real time image compression\",\"authors\":\"H. Dixit, A. Jeyakumar, Piyush S. Kasat, C. Warty\",\"doi\":\"10.1109/WOCN.2013.6616258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Discrete Cosine Transform (DCT) is largely used for image and video compression in standards like JPEG and MPEG2. Its simplicity coupled with the fact that it can be computed faster than the Discrete Wavelet Transform (DWT) makes it an attractive option for image and video compression. Consequently a lot of research is in progress to determine novel architectures and algorithms for faster DCT computation having high throughput so that it can even be used for real time applications. For example, when transmitting and receiving videos, which have been compressed using MPEG2, one would like to receive the video, without any buffering delay. In other words, one requires such an architecture, which provides the DCTQ coeffecients at a consistent rate, with very low latency between two coeffecients. As such, a highly parallel and pipelined architecture employing 57 pipeline stages and using fast multipliers and adders is proposed in this work. The proposed DCT Processor is implemented in Spartan 3E FPGA.\",\"PeriodicalId\":388309,\"journal\":{\"name\":\"2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOCN.2013.6616258\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOCN.2013.6616258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
离散余弦变换(DCT)在JPEG和MPEG2等标准中主要用于图像和视频压缩。它的简单性,加上它可以比离散小波变换(DWT)更快地计算,使它成为图像和视频压缩的一个有吸引力的选择。因此,人们正在进行大量的研究,以确定具有高吞吐量的更快DCT计算的新架构和算法,以便它甚至可以用于实时应用。例如,在发送和接收使用MPEG2压缩的视频时,人们希望在没有任何缓冲延迟的情况下接收视频。换句话说,我们需要这样的体系结构,它以一致的速率提供DCTQ系数,并且两个系数之间的延迟非常低。因此,在这项工作中提出了一个高度并行和流水线的架构,采用57个流水线阶段,并使用快速乘法器和加法器。该DCT处理器在Spartan 3E FPGA上实现。
VLSI design of fast DCTQ-IQIDCT processor for real time image compression
The Discrete Cosine Transform (DCT) is largely used for image and video compression in standards like JPEG and MPEG2. Its simplicity coupled with the fact that it can be computed faster than the Discrete Wavelet Transform (DWT) makes it an attractive option for image and video compression. Consequently a lot of research is in progress to determine novel architectures and algorithms for faster DCT computation having high throughput so that it can even be used for real time applications. For example, when transmitting and receiving videos, which have been compressed using MPEG2, one would like to receive the video, without any buffering delay. In other words, one requires such an architecture, which provides the DCTQ coeffecients at a consistent rate, with very low latency between two coeffecients. As such, a highly parallel and pipelined architecture employing 57 pipeline stages and using fast multipliers and adders is proposed in this work. The proposed DCT Processor is implemented in Spartan 3E FPGA.