期刊文献+

基于二维DCT的图像压缩编码及其实现 被引量:4

Image Compression Coding and Implementation Based on 2D-DCT
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摘要 DCT变换是图像压缩的一项重要技术,如何准确、快速进行图像压缩一直是国内外研究的热点。主要介绍基于DCT变换的图像压缩编码算法,给出具体的实现方法和步骤,并用Matlab进行了算法仿真。实验结果表明,该算法实现简单,在很大压缩范围内,都能得到很好的重建图像质量,满足不同场合要求不同图像质量的实际需要。这里利用Matlab做仿真实验,方法简单、速度快且误差小,大大提高了图像压缩的效率和精度。 The DCT transform is an important technique in the field of image compression. How to compress the image accurately and fast has been a research focus both at home and abroad all the time. This paper mainly introduces the algorithm of the image compress coding based on DCT,and shows details of realization. Then the algorithm is simulated by Matlah. Simulation experiments show that the algorithm is simple to realize. The reconstructed images are of good quality satisfying the demands of different image quality on various occasions under the circumstances of very large compression range. The innovation spot of this paper is that the method doing experiments with Matlab is simple, rapid and with little error. It can improve the efficiency and precision of the image compression greatly.
作者 李春霞
出处 《现代电子技术》 2008年第16期157-159,共3页 Modern Electronics Technique
关键词 图像压缩 DCT变换 MATLAB仿真 峰值信噪比 image compression DCT transform Matlab simulation peak signal to noise ratio
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参考文献3

二级参考文献3

  • 1阎宇松,模式识别与人工智能,1999年,12卷,1期,38页
  • 2夏德深,现代图像处理技术与应用,1997年
  • 3Hong J,博士学位论文,1993年

共引文献23

同被引文献18

  • 1徐冰.国外星上数据压缩算法发展研究[J].国际太空,2014(1):41-47. 被引量:2
  • 2冈萨雷斯.数字图像处理[M].阮秋琦,阮宇智,译.2版.北京:电子工业出版社,2007:427.
  • 3WANG Z, BOVIK A C, EVANS B L. Blind measurement of blocking artifacts in images[C]//Proceedings of IEEE International Conference on Image Processing. Vancouver, Canada: IEEE, 2000, 3: 981-984.
  • 4王树伟.Matlab6.5辅助图像处理[M].北京:电子工业出版社,2003.
  • 5周品,李晓东.MATLAB数字图像处理[M].北京:清华大学出版社,2012;229-233.307-310.376.
  • 6WALAA M. ELHAFIEZ A, WAJEB G. Color image compression algorithm based on the DCT blocks [ J]. Int J Comput Appl, 2012,9(4) :323-328.
  • 7RAFAEL G, RICHARD E W, STEVEN L E. Digital image processing using MATLAB (2nd Edition) [M]. New York:Gates- mark Publishing, 2009.
  • 8JEEVAN K M. Comparative study of DCT based image compression on hexagonal and conventional square pixel images [J]. Int J Comput Appl, 2012,43(7) :40-42.
  • 9MAHMUD H, KAMRUDDIN M, HASIB B S. An improved JPEG image compression technique based On selective quantization [J]. Int J Comput Appl, 2012,55(3) :9-14.
  • 10DIPTI BHATNAGAR, SUMIT BUDHIRAJA. Image compression using DCT based compressive sensing and vector quantization [J]. Int J Comput Appl, 2012,50(20) :34-38.

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