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。