Firstly , chromatism analysis and wavelet transform are used for color image compression coding . in this method , one of the three color components of a color image ( for example the g component of a rgb color image ) is coded using wavelet transform , and the chromatism between g and other two color components rg = r - g , bg = b - g is coded respectively using chromatism analysis . during decoding , g ~ is first reconstructed using wavelet inverse transform and inverse quantisation , and rg , bg are reconstructed using chromatism analysis inverse transform ; then r , b are calculated by r = g + rg and b = g + bg respectively 其一是应用色差分析和小波变换对彩色图象进行压缩编码,该方法是对彩色图象的三个色彩分量之一,如rgb图象的g进行小波变换编码,而对g与另两个色彩分量的差值(即rg = r - g和bg = b - g )进行色差分析编码,解码则是通过反量化和小波逆变换得到g ^ ,通过色差分析的逆变换得到两个重构的色差rg ^和bg ^ ,再算出r ^ = g ^ + rg ^ 、 b ^ = g ^ + bg ^ ,最后由r ^ 、 g ^ 、 b ^重构图象。
In term of bandwidth fluctuation of internet , proposes two types of scalable video coding scheme adapted to transmission of internet , that is , a fine - granularity spatially scalable video coding and a progressive fine - granularity scalable video coding . meanwhile , proposes a wavelet transform ' s algorithm using for lower rate coding 同时针对internet上传输带宽波动性,提出了两种可用于internet传输的可伸缩视频编码方案- - fgss (精细空间可伸缩视频编码)和pfgs (渐进精细可伸缩视频编码) ,提出了用于极低码率的小波变换编码算法。
Image code is a developing field on image compression and a lot of methods on that has now generated , such as predict code , transform code , statistic code , subband code , fractal code , model code , vector quantization code , neural networks code , wavelet transform code , etc . in this paper , we set focus on the wavelet transform code 常见的主要编码方法有预测编码,变换编码,统计编码,子带编码,分形编码、模型编码、矢量量化编码,神经网络编码,小波变换编码等等。本文主要研究基于小波变换的图像编码方法。
At the receiver , we analyzed the problem with reconstruction of information lost in image sub - block based on transform coding of image , and a technology of lost information reconstruction with corresponding fast algorithm of sub - block information reconstruction based on the boundary information of image sub - block is proposed 在接收端,我们以变换编码技术为对象,对于图像子块受损的信息重建问题进行了深入分析,建立了利用图像子块边界信号重建丢失信息的模型。
So this image coding has the tendency of replacing the image coding of having dct as the core . the author in this papers have done some research of image compression , it contains three parts . firstly , having a whole cognition of image compression coding , the thesis analyses the advantages of the adoption of dct by many international standard 本文就是在这种情况下对图像压缩编码方法做了一些研究工作,主要包括三部分内容:第一部分:对图像压缩编码的基本概念、基本理论以及整个图像压缩编码系统的构成进行概述,在此基础上重点分析讨论了离散余弦变换编码能够被众多国际标准所采用的优势所在。
Currently , transforming coding is one of the most used approach for image coding , where the discrete cosine transform ( dct ) , the discrete wavelet transform ( dwt ) , and the lapped biorthogonal transform ( lbt ) are widely utilized . how to reduce the complexity of these discrete transforms , is the key technique to image compression . in this thesis , a type of lapped biorthogonal transform which can map integers to integers is considered 变换编码是图像压缩中的主流方法,其采用的主要变换有离散余弦变换、离散小波变换、双正交叠式变换,如何减少这些离散变换的计算复杂性,一直是图像压缩研究的重要课题。