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图像旋转VLSI流水结构设计

A pipelined VLSI design for image rotation
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摘要 提出了一种基于3步平移算法的实时图像二维旋转VLSI流水结构.该结构采用了一种新颖的缓存机制,通过错位存储中间结果和单独存储列平移量的方式,显著减少了片上存储器的总容量,同时也减少了整个旋转过程中无效数据的处理量,提高了数据通过率.该设计采用SMIC 0.18μm CMOS工艺进行了流片,在100MHz工作频率下,对一幅512×512的图像旋转45°,处理时间约为3.81ms,满足了大多数图像处理系统的实时性要求. A pipelined VLSI architecture for three-pass rotation algorithm was proposed, in which a buffer scheme was used. This architecture buffers the intermediate results in the dislocated order and stores the offsets in the horizontal direction separately. As a result, both the area of on-chip memory and the amount of pixels processed were reduced. The design was fabricated by SIMC (Semiconductor Manufacturing International Corporation) 0.18 μm CMOS (complementary metal oxide semiconductor) technology. Experimental results show that it only takes 3.81 ms at 100 MHz to rotate a 512 × 512 image by the angle 45°, which meets the real-time requirement for many application systems.
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2012年第1期10-14,共5页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家自然科学基金重点资助项目(60736010)
关键词 图像处理 图像旋转 3步平移算法 缓存机制 超大规模集成电路流水结构 image processing image rotation three-pass algorithm buffer scheme very large scale integrated (VLSI) circuits pipelined architecture
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参考文献9

  • 1丁宏庆.数字图像旋转的硬件实现[J].电子技术(上海),1998,25(12):7-9. 被引量:1
  • 2Bhandarkar S M, Yu H Y. VLSI implementation of real-time image rotation[C]//Proceeding Int Conf on Image Process. New York: IEEE, 1996: 1015-1018.
  • 3Ghosh I, Majumdar B. Design of an application spe- cific VLSI chip for image rotation[C]//Proceedings of 7th Int Conf on VLSI Design. Los Alamitos: IEEE Comput Soc Press, 1994: 225-278.
  • 4Satzoda R K, Suchitra S, Srikanthan T. Techniques for area-time efficient image rotation[C]//2009 IEEE Int Symp Circuits Syst. Piseataway: IEEE, 2009: 940-943.
  • 5Jiang X G, Zhou J Y, Shi J H, et al. FPGA impie-mentation of image rotation using modified compensa- ted CORDIC[C]// 2005 6th Int Conf on ASIC Pro- ceedings. Piscataway: IEEE, 2005: 699-702.
  • 6Bourennane E B, Bouchoux S, Miteran J, et al. Cost comparison of image rotation implantations on static and dynamic reconfigurable FPGAs[C]//IEEE Int Conf Acoust Speech Signal Processing. New York: IEEE, 2002:3176-3179.
  • 7Unser M, Thevenaz P, Yaroslavsky L. Convolution- based interpolation for fast, high-quality rotation of images [J]. IEEE Trans Image Process, 1995, 4(10) : 1371-1381.
  • 8Watve R S, Shende A S, Kshirasagar S. Real time image rotation using SoC architecture[C]//Proceed- ing 8th Int Syrup Signal Process Applic. Piscataway: Inst of Elec and Elec Eng Computer Society, 2005: 795-798.
  • 9Keys R G. Cubic convolution interpolation for digital image processing[J]. IEEE Trans. Acoust Speech Signal Process, 1981, 29(6): 1153-1160.

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