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应用提升格式实现的基于行小波变换的图像压缩算法 被引量：2

Lifting-schemed line-based wavelet image compression
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摘要 内存需求量大、计算复杂度高等问题很大程度上限制了JPEG2000的应用。基于行小波变换的图像压缩算法以累进方式完成列向小波变换,在不影响变换结果的前提下降低了对存储容量的需求。应用三项加法单元形式的提升格式代替原基于行的小波变换算法中的Mallat算法,充分利用了提升格式的全替换特性,加快了计算速度,节省了内存。同时针对基于行的小波变换的特点,设计了相应的上下文模板,可以简洁、高效地进行概率估计。应用该方法对JPEG2000进行改进,可大大提高其实用性。 Due to the large requirement for memory and the high complexity of computation, JPEG2000 can not be used in many conditions. The line-based wavelet transform was proposed and accepted because it required lower memory without affecting the result of wavelet transform. In this paper, the improved lifting scheme was used to perform wavelet transform to replace Mallat algorithm in the original line-based wavelet transform, the corresponding context-based arithmetic coding was discussed here too. As a result, considerable reduction of memory and computational costs can be achieved.
作者 张宏伟 刘正光 陈红新
机构地区 天津大学电气与自动化工程学院
出处 《计算机应用》 CSCD 北大核心 2005年第7期1626-1628,共3页 journal of Computer Applications
基金 天津市自然科学基金资助项目(023601011)
关键词 基于行的小波变换 提升格式 基于上下文的算术编码 line-based wavelet image compression, lifting scheme, context-based arithmetic coding
分类号 TN919.81 [电子电信—通信与信息系统]
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参考文献5

  • 1CHRYSAFIS C, ORTEGA A. Line based, reduced memory, wavelet image compression [J], IEEE Transactions on Image Processing,2000, 9(3):378-389.
  • 2SWELDENS W, The Lifting Scheme: A new Philosophy in Biorthogonal Wavelet Construction [A]. Wavelet Applications in Signal and Image, Processing Ⅲ[C],1995.68 -79,.
  • 3DAUBECHIES I, SWELDENS W, Factoring wavelet transforms into lifting steps [J], Fourier Analysis and Applications, 1998, 4(3):247 - 269.
  • 4CHANG W-H, LEE Y-S, PENG W-S, et al. A line-based, memory efficient and programmable architecture for 2D DWT[A], IEEE Proceedings of ISCAS 2001[C], 2001, 4,330 -333.
  • 5ISO/IEC JTC 1/SC 29/WG 1, ISO/IEC FCD15444-1:JPEG2000 image coding system[S]. http:// www. jpeg. org/ FCD 15444-1.htm, 2000.

同被引文献16

  • 1杨国安,郑南宁,刘跃虎,刘在德,兰旭光,吴宗泽.7/5小波滤波器簇及其图像压缩性能研究[J].西安交通大学学报,2005,39(6):628-632. 被引量：4
  • 2宋凭,刘波,曹剑中,张仲敏,单洁,唐垚.基于快速提升小波变换的图像压缩[J].科学技术与工程,2005,5(19):1330-1333. 被引量：5
  • 3VENKATESHWAR R M. BHAGYA R V. Image resolu- tion enhancement technique using lifting wavelet and dis- crete wavelet transforms[ C ]// Proceeding of the 3rd In- ternational Conference on Innovations in Computer Sci- ence and Engineering, 2015, 413:235-239.
  • 4CHRYSAFIS C, ORTEGA A. Line- based, reduced memory, wavelet image compression [ J]. IEEE Transac- tions on Image Processing, 2000, 9(3) : 378 -389.
  • 5YE L, GUO J, NUTYER B, et al. Low - memory - usage image coding with line - based wavelet transform [ J ]. Optical Engineering, 2011, 50(2) : 1 - 11.
  • 6ERISTI H. Fault diagnosis system for series compensated transmission line based on wavelet transform and adaptive neuro - fuzzy inference system [ J ]. Measurement, 2013, 46(1): 393 -401.
  • 7SHOBA P, MARIA L L, MOHAN V, et al. Landsat image compression using lifting scheme [ C ]// Proceed- ing of International Conference on Communications and Signal Processing (ICCSP). Tamilnadu Melmaruvathur, India, 2014:1963 - 1968.
  • 8ZHANG L, QIU B. Edge -preserving image compression using adaptive lifting wavelet transform [ J ]. Interna- tional Journal of Electronic, 2015, 102 (7) : 1190 - 1203.
  • 9GUO F, LIU X, ZHAO C. The image enhancement technology based on lifting wavelet [ J ]. Applied Me- chanics and Materials, 2014, 513/514/515/516/517: 3261 - 3264.
  • 10ZENG W, DALY S, LEI S. An overview of the visual optimization tools in JPEG 2000 [ J ]. Signal Process- ing: Image Communication, 2002, 17 ( 1 ) : 85 - 104.

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计算机应用
2005年 第7期

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