期刊文献+

基于FPGA的QUIC无损图像压缩算法设计

下载PDF
导出
摘要 QUIC是一种预测编码算法。它在只可以压缩灰度图像的SFALIC算法的基础上,增加了RLE编码,从而可以压缩彩色图像。采用FPGA硬件实现该算法不仅可以实时压缩各种彩色图像,而且可以将其部署到需要无损图像压缩的实时终端系统中。本文通过研究QUIC算法的原理及关键技术,提出了一种基于FPGA硬件实现QUIC无损图像压缩算法的设计方案,并通过实验对其有效性进行了对比分析和验证。
出处 《电子技术与软件工程》 2018年第7期82-83,共2页 ELECTRONIC TECHNOLOGY & SOFTWARE ENGINEERING
关键词 QUIC 无损压缩 FPGA
  • 相关文献

参考文献2

二级参考文献12

  • 1Weinberger M J, Seroussi G, Sapiro G. LOCO-Ⅰ: A Low Complexity,Context-Based, Lossless Image Compression Algorithm [A]. Data Compression Conference[C], 1996(3).
  • 2Klimesh M, Stanton V, Watola D. Hardware Implementation of a Lossless Image Compression Algorithm Using a Field Programmable Gate Array[R]. TMO Process Report,2001(2).
  • 3Weinberger Marcelo J, Seroussi Gadiel, Sapiro Guillermo. The LOCO-ⅠLossless Image Compression Algorithm: Principles and Standardization into JPEG-LS[J].IEEE Trans. on Image Processing, 2000,8(9): 1309-1324.
  • 4Estrakh D D, Mitchell H B, Schaefer P A. Soft' Median Adaptive Predictor for Lossless Picture Compression[J]. Signal Processing, 2001(81): 1985 - 1989.
  • 5Savakis A E. Evaluation of Lossless Compression Methods fer Gray Scale Document Images[C]. International Confference. on Image Processing,Vancouver, 2000.
  • 6Liang J Y, Clqen C S, Huang C H. et al Lossless compression of medical images Using Hilbert space-filling curves [J]. Computerized Medical lmaging and Graphics, 2008, 32(3): 174-182.
  • 7Wu X, Memon N. Context-based, adaptive, Iossless image coding[J]. Transactions On Communications, IEEE, 1997, 45(4): 437-444.
  • 8Lossless and Near-Lossfess Coding of Cont{nuous Still Images (JPEG-LS), }SO/IEC JTC1/SC29 WG1 ITU-T SG8 (JPEG/JBIG), CD 14495, 1998.
  • 9P. G. Howard and J. S. Vitter, Fast and efficient Iossless image compression[C], in Proc. IEEE int. Conf Data Compression, 1993.
  • 10Tsai T H,Lee Y H,Lee Y Y. Design and analysis of high- throughput Iossless image compression engine using VLSI- oriented FELICS algorithm [J]. Transactions on Very Large Scale Integration (VLSI) Systems, IEEE, 2010.

共引文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部