• A system model of image sequence coding based on wavelet transform is established. Then a high data compression ratio is realized and satisfactorily reconstructed image can be obtained.

    建立了基于小波变换的运动图像编码系统模型,实现了数据的高效压缩并得到了良好的恢复图像。

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  • With analyzing the availability of fractal image coding and the characters of affine transform in wavelet domain, a fractal image coding approach based on classifications is presented in this paper.

    通过分析小波分解作为分形图像编码预分解的有效性和小波域内仿射变换的特性,提出一种基于分类的小波域内的分形图像编码方法。

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  • After analyzed the statistical characteristics of disparity and residual image, a new coding scheme of disparity compensated difference based on wavelet transform (WDCD) is presented.

    并在分析了视差和残差图像的统计特性后,提出了一个基于小波变换的视差补偿残差(WDCD)的编码方案。

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  • Arbitrary shape region of interest lossily and losslessly coding technology based on integer-to-integer shape adaptive discrete wavelet transform has also been studied.

    研究了基于整数到整数形状自适应离散小波变换对任意形状感兴趣区域的有损和无损编码技术。

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  • The image and video coding based on wavelet, transform is studied in this thesis. The new algorithm of wavelet-based image and video compressing is proposed and tested.

    本文对小波图像和视频编码进行了深入研究,提出了新的小波图像和视频编码算法,并针对提出的算法进行了实验验证。

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  • A new remote sensing image coding scheme based on the biorthogonal wavelet transform and SPIHT algorithm is proposed according to the statistical characteristic of remote sensing image data.

    针对遥感图像的数据特点,提出了结合双正交变换和SPIHT算法的遥感图像小波零树编码方案。

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  • To improve the compression ratio, image quality and coding efficiency, an image coding algorithm based on wavelet transform and scalar vector quantization is presented.

    针对标量量化压缩比小而向量量化压缩速度慢、图像复原效果不理想等弱点,提出了基于小波变换的分类量化图像编码算法(简称“分类量化编码”)。

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  • The project is based on wavelet transform image compression, and implements wavelet transform, subband coding, The quantization and entropy encoding processes provide data compression;

    该方案基于小波变换的场内图像压缩技术,采用小波变换、子带编码、自适应量化和熵编码来对图像数据进行压缩;

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  • And then D-S evidential theory is used to identify the target based on wavelet transform and FOBW coding.

    在此基础上,运用D - S证据理论对目标进行融合识别。

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  • The method is based on real 3d wavelet transform, and implements a three dimensional extension of SPIHT in still image coding by defining a new spatial-temporal orientation tree structure.

    该方法建立在真三维小波分解基础上,通过定义一种新的时空方向树结构,实现了静止图像SPIHT算法的三维扩展。

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  • The followings are studied in this thesis: principle of wavelet based image coding methods, key problems of wavelet transform in image codec and some main coding algorithms based on wavelet.

    给出了基于小波的图像压缩编码的基本原理与主要几种小波图像压缩算法,讨论了图像编码中小波基选取、边界处理以及分解级数等几个问题。

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  • The zero-tree coding algorithm based on wavelet transform is a kind of good compression method. Firstly, this thesis studies this kind of algorithm and completes the whole design.

    基于小波变换的零树编码算法是效果较好的一类压缩方法,因此本文首先对这种算法进行了研究,完成了整体方案的设计。

    youdao

  • The zero-tree coding algorithm based on wavelet transform is a kind of good compression method. Firstly, this thesis studies this kind of algorithm and completes the whole design.

    基于小波变换的零树编码算法是效果较好的一类压缩方法,因此本文首先对这种算法进行了研究,完成了整体方案的设计。

    youdao

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