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Basing on the 3D image data compression and in accordance with the structure characteristics of 3DLCS scanning data that the scanning data set of 3D surface can be considered as a curve set in 3D space, the thesis extends 2D curve Splitting compressing method to the 3D space and presents a 3D curve compressing method based on the curve compression and the color information compression. The 3D compressing effect is better.

在三维图像数据压缩方面,根据3DLCS的扫描数据结构特点(即可以将三维表面扫描数据集看作一个空间曲线的集合),将平面曲线压缩中的Splitting方法推广到三维情形,提出了一种基于曲线压缩和彩色信息压缩的三维数据压缩方法,取得了较好的压缩效果。

And then, a feasible solution using new protocol and compression technology is discussed.

文中从图像信息传输所采用的协议和压缩技术进行了分析,提出了一种通过改进协议和压缩技术实现图像信息高清晰快速传输的可行方案。

This code compress the image using wavelets. Both gray scale and RGB images can be applied and some

这个代码使用小波变换压缩图像,灰色的和RGB色的图像都可以被压缩。

In this article, the BINIDCT algorithm, a fast approximation of the Discrete Cosine Inverse Transform and its efficient VLSI architectures for hardware implementations with Wishbone bus are presented.

1引言离散余旋变换(Discrete Cosine Transform,DCT)和其反变换(Inverse Discrete Cosine Trans-form,IDCT)广泛地应用于图像和视频压缩、解压缩领域中,其中包括JPEG、MPEG1-2、H.26x、MPEG4等图像标准中。

The algorithm of SAR image's lossless compression and low loss compression is discussed.

对SAR图像的统计特性进行了研究,据此对SAR图像的无失真压缩、低失真压缩进行了理论研究。

This dissertation mainly includes algorithms which present the two development directions of lossless image compression.

针对高效、实时的图像无损压缩的要求,研究快速的图像无损压缩技术和算法有很重要的理论意义和实用价值。

It is of significant practical and commercial interest to do research on fast lossless image compression algorithms.

它主要应用于一些需要对图像做进一步处理、重复压缩与解压缩、图像的获取代价昂贵的领域,如指纹图像、遥感图像、医用图像处理等。

Firstly,the wavelet-based contourlet coding using an SPIHT-like algorithm is utilized on the plain image,and as a result,the compressed datum stream could be achieved which is then mapped to a 3D bit matrix. Afterward,a chaotic sequence is generated by Lorenz chaotic map,and it is preprocessed to a bit sequence which is used to permute and substitute the elements of the 3D bit matrix achieved above. In the end,the processed 3D matrix is mapped back to datum stream,and the encrypted compressed image could be achieved if decoding and inverse transform are performed on the datum stream.

首先采用基于小波的Contourlet变换的类等级树集合分割编码算法对明文图像进行压缩,得到压缩数据流,然后将压缩数据流映射为一个三维位矩阵;利用Lorenz混沌映射产生混沌序列,并对其进行预处理得到比特值序列,根据比特值序列对上述三维位矩阵进行置乱和替代操作;将置乱和替代后的位矩阵重新映射为数据流,并对其进行解码和反变换操作,得到加密后的压缩图像。

In this paper an analysis of the multispectral images space and spectral features is presented, and useful lossless compression techniques such as preprocessing, prediction and transformation are introduced, and also a comparative analysis of these techniques is discussed.

本文分析了多光谱图像的空间和谱间相关性等特点,从多光谱图像预处理、预测和变换无损压缩方法等方面介绍了目前主要的多光谱图像无损压缩方法,并对其特点进行了对比分析。

In this paper an analysis of the multi-spectral images space and spectral features is presented, and useful lossless compression techniques such as preprocessing, prediction and transformation are introduced, and also a comparative analysis of these techniques is discussed.

本文分析了多光谱图像的空间和语间相关性等特点,从多光谱图像预处理、预测和变换无损压缩方法等方面介绍了目前主要的多光谱图像无损压缩方法,并对其特点进行了对比分析。

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