{"title":"基于无乘法器提升的IDCT近似的率失真分析","authors":"Lijie Liu, T. Tran","doi":"10.1109/CISS.2007.4298399","DOIUrl":null,"url":null,"abstract":"In this paper, we study the rate-distortion performance of our two proposed multiplierless lifting-based IDCT approximations. The proposed IDCT approximations comprise of butterflies and dyadic-rational lifting steps that can be implemented using only shift and add operations, and allows the computational scalability with different accuracy-versus-complexity trade-offs. As rounding approximation leads to the truncation errors in the lifting steps, we estimate the worse-case truncation errors of our IDCT schemes as the distortion performance measurement. Because the cost of a hardware bit shift operation is negligible as compared with that of an addition operation, the overall rate cost is measured by the total minimal number of additions required to complete the IDCT multiplierless implementations. Through the rate and distortion analysis, we obtain the rate-distortion (RD) curves of 32-bit fixed-point implementations of our IDCT structures. From these RD curves, we present two complementary optimal solutions. The first optimal solution can pass IEEE-1180 test with the minimal number of additions. The second optimal solution can result in the finest IDCT approximations compared with the floating-type IDCT. Moreover, our RD analysis confirms that the solution proposed in (L. Liu and T.D. Tran, 2007) is RD-optimized and has a very good performance in terms of accuracy and complexity.","PeriodicalId":151241,"journal":{"name":"2007 41st Annual Conference on Information Sciences and Systems","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Rate-Distortion Analysis of Multiplierless Lifting-based IDCT Approximations\",\"authors\":\"Lijie Liu, T. Tran\",\"doi\":\"10.1109/CISS.2007.4298399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we study the rate-distortion performance of our two proposed multiplierless lifting-based IDCT approximations. The proposed IDCT approximations comprise of butterflies and dyadic-rational lifting steps that can be implemented using only shift and add operations, and allows the computational scalability with different accuracy-versus-complexity trade-offs. As rounding approximation leads to the truncation errors in the lifting steps, we estimate the worse-case truncation errors of our IDCT schemes as the distortion performance measurement. Because the cost of a hardware bit shift operation is negligible as compared with that of an addition operation, the overall rate cost is measured by the total minimal number of additions required to complete the IDCT multiplierless implementations. Through the rate and distortion analysis, we obtain the rate-distortion (RD) curves of 32-bit fixed-point implementations of our IDCT structures. From these RD curves, we present two complementary optimal solutions. The first optimal solution can pass IEEE-1180 test with the minimal number of additions. The second optimal solution can result in the finest IDCT approximations compared with the floating-type IDCT. Moreover, our RD analysis confirms that the solution proposed in (L. Liu and T.D. Tran, 2007) is RD-optimized and has a very good performance in terms of accuracy and complexity.\",\"PeriodicalId\":151241,\"journal\":{\"name\":\"2007 41st Annual Conference on Information Sciences and Systems\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 41st Annual Conference on Information Sciences and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISS.2007.4298399\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 41st Annual Conference on Information Sciences and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISS.2007.4298399","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
在本文中,我们研究了我们提出的两种基于无乘子提升的IDCT近似的率失真性能。所提出的IDCT近似包括蝴蝶和二向有理提升步骤,可以仅使用移位和添加操作来实现,并允许不同精度与复杂性权衡的计算可扩展性。由于舍入近似会导致提升步骤中的截断误差,我们估计了最坏情况下的截断误差作为我们的IDCT方案的失真性能测量。由于与加法操作相比,硬件位移位操作的成本可以忽略不计,因此总体速率成本是通过完成IDCT无乘法器实现所需的最小加法总数来衡量的。通过速率和失真分析,我们得到了32位IDCT结构定点实现的速率失真(RD)曲线。从这些RD曲线,我们给出了两个互补的最优解。第一个最优解能以最小的加法数通过IEEE-1180测试。与浮点型IDCT相比,第二个最优解可以得到最优的IDCT近似。此外,我们的RD分析证实了(L. Liu and T.D. Tran, 2007)提出的解决方案是RD优化的,在准确性和复杂性方面都有很好的表现。
Rate-Distortion Analysis of Multiplierless Lifting-based IDCT Approximations
In this paper, we study the rate-distortion performance of our two proposed multiplierless lifting-based IDCT approximations. The proposed IDCT approximations comprise of butterflies and dyadic-rational lifting steps that can be implemented using only shift and add operations, and allows the computational scalability with different accuracy-versus-complexity trade-offs. As rounding approximation leads to the truncation errors in the lifting steps, we estimate the worse-case truncation errors of our IDCT schemes as the distortion performance measurement. Because the cost of a hardware bit shift operation is negligible as compared with that of an addition operation, the overall rate cost is measured by the total minimal number of additions required to complete the IDCT multiplierless implementations. Through the rate and distortion analysis, we obtain the rate-distortion (RD) curves of 32-bit fixed-point implementations of our IDCT structures. From these RD curves, we present two complementary optimal solutions. The first optimal solution can pass IEEE-1180 test with the minimal number of additions. The second optimal solution can result in the finest IDCT approximations compared with the floating-type IDCT. Moreover, our RD analysis confirms that the solution proposed in (L. Liu and T.D. Tran, 2007) is RD-optimized and has a very good performance in terms of accuracy and complexity.