小波零树编码的英文

• ezw

• "小"英文翻译    small; little; petty; minor
• "波"英文翻译    wave
• "零"英文翻译    zero zero sign; nought
• "树"英文翻译    tree
• "编码"英文翻译    encoded; code; coded; encryp ...
• "嵌入式小波零树编码" 英文翻译 :    ezw
• "小波零树" 英文翻译 :    ezw
• "零树小波编码" 英文翻译 :    ezw
• "嵌入零树小波编码" 英文翻译 :    ezw
• "树编码" 英文翻译 :    tree coding
• "零树小波" 英文翻译 :    zero-treewavelet
• "嵌入式零树小波" 英文翻译 :    ezw
• "零树" 英文翻译 :    null tree
• "小波" 英文翻译 :    small echo; small wave; wavelet
• "绫波零" 英文翻译 :    ayanami rei
• "载波零点法" 英文翻译 :    null carrier method
• "haar小波" 英文翻译 :    haar transform
• "陈小波" 英文翻译 :    xiao-bo chen
• "李小波" 英文翻译 :    xiaobo li
• "刘小波" 英文翻译 :    xiao-bo liu
• "罗小波" 英文翻译 :    lou xiaobo
• "母小波" 英文翻译 :    mother wavelet
• "王小波" 英文翻译 :    wang xiaobo
• "小波波" 英文翻译 :    little popo
• "小波基" 英文翻译 :    wavelet basis

• Improved wavelet zerotree still image coding
  改进的静止图像小波零树编码
• In the third chapter , ezw coding and roi coding are introduced . how to implement roi coding in the algorithm framework of embedded zero wavelet coding is discussed in this part
  第三章，介绍了小波零树编码和感兴趣区域编码，并讨论了如何在小波零树编码的算法框架内实现感兴趣区域编码。
• Such method divides the whole image into a series of image layers including different signal characteristics , such as low - freq & edge layer and texture layer . for the first , we adopt wavelet image algorithm ; for the latter , matching pursuit based on redundant dictionary is utilized
  它将图像划分为一组包含不同信号特征的图像层，如低频边缘层和纹理层等等，对于前者可以选择采用小波零树编码方案，而对后者则采用基于冗余字典的匹配分解算法。
• In the second chapter , wavelet theory , which is the theoretic basis of embedded zero wavelet coding is introduced briefly , including wavelet transform " s local characteristics , multi - resolution analysis , discrete signal ' s fast decomposition and construction , wavelet and filter group
  第二章，对小波零树编码算法的理论基础? ?小波理论作了简要的介绍，包括小波变换的时频局部特性、多分辨率分析、离散信号的快速分解与重构以及小波与滤波器组的关系。
• Then it is possible to realize high compression ratio of images . in this paper the principle of which wavelet transform can be used in images compression is discussed on basis of statistics and analysis of image ' s wavelet coefficients after wavelet decomposition . also some kinds of quantify and coding schemes are discussed including scalar quantization , vector quantization , embedded zerotree wavelets encodings run length coding , huffman coding and so on
  论文对图像经分解后的小波系数进行统计与分析，阐述了小波变换所以能够用于图像压缩的道理，并在此基础上讨论了多种量化和编码方案的设计与实现，包括标量量化、矢量量化、嵌入小波零树编码、行程编码、哈夫曼编码等，其中对jpeg2000采用的标量量化和嵌入小波零树编码作了重点讨论和分析。
• Image compression coding plays a very important role in the multimedia communication technology . various compression standards , such as jpeg2000 and mpeg - 4 , have appeared . wavelet transform technology is used both in jpeg2000 and mpeg - 4 . in this paper , firstly , i mainly discuss the problem about wavelet zerotree in image coding and two improved algorithms are proposed . secondly , we compress image combined with deleting noise by wavelet zerotree algorithm . lastly , several compessing methods based on wavelet zerotree idea are compared and summarized
  图像压缩编码技术是多媒体通信技术中的关键技术，近年来各种压缩标准应运而生(例如jpeg2000和mpeg - 4 ) ，这两个标准都推荐使用小波变换技术来编码。本文主要研究了小波零树编码在图像压缩及其去噪中的应用，提出了一些改进算法；最后对各种基于小波零树思想的压缩编码方法进行比较和总结。
• Furthermore i introduce the elementary wavelet theory . secondly , two classical wavelet image coding algorithm based wavelet zerotree idea are introduced and two improved algorithms are proposed . the first algorithm is that we combine runlength coding and zerotree coding in which ll band coefficients are coded lonely with dpcm . the second algorithm is the zerotree algorithm with vector quantization is combined with ll band coefficients alone coding with dpcm . the simulating results show they can get better performance both in psnr and subjective quality . thirdly , we make research on how to compress image combined with deleting noise by zerotree algorithm . first we use soft - threshold method to denoise image with noise , and then the first improved zerotree algorithm is used to compress image . simulating results show that the subjective quality of the decoded image is good . lastly , we compare , analyse and summarize all kinds of compress ing methods based on wavelet zerotree idea
  本文提出了两种改进算法，算法一： dpcm 、零树和游程相结合的改进算法；算法二： dpcm 、零树和矢量量化相结合的改进算法；仿真结果表明这两种改进算法无论从客观信噪比还是从主观质量都取得了很好的效果，从而证明改进方案是有实际意义的；然后是含噪图像的小波零树编码去噪研究，软门限去噪以后采用第一种改进算法对图像进一步压缩，解压后的仿真结果显示噪声得到了很好的去除；最后是对基于零树编码思想的各种编码方法进行总结、分析和比较。