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图像压缩

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The former uses Eigen-associative Learning algorithm to learn various facial expressions according to a face image with neutral expression. The latter is a two-level fusion approach which combines local linear and global nonlinear subspace learning. Amongst, the local linear subspace learning adopts eigen-representation technique for video sample compression in temporal domain; the global nonlinear subspace learning synthesizes optimized facial expressions in spatial domain.

前者采用特征关联学习算法根据一幅中性表情人脸图像合成具有其它表情的人脸图像;后者是一种结合局部线性和全局非线性子空间分析的两层融合方法,其中局部线性子空间学习采用特征表示技术在时间域对视频样本进行压缩、全局非线性子空间学习在空间域内产生优化的人脸表情。

Aiming to the two points of data compressing and characteristic distilling during the pretreatment of image data process, this paper introduces a non-numeric parallel algorithm of continous hopfield neural network used to clustering of image data mining.

针对图像数据预处理中的数据压缩和特征提取两个重点,介绍一种基于连续Hopfield神经网络的非数值并行算法应用于图像数据挖掘的聚类预处理过程。

It includes: Video decoding^ Video collection^ Video quantizer digital video compression and USB interface.

它包括:视频图像解码、视频采集、量化以及数字视频图像的压缩和USB的接口。

Experimental results showed that, compared with traditional wavelet-based image compression algorithms, this algorithm could alleviate the blur of image edge and improve the recognizability of the compressed images and peak signal to-noise ratio.

实验结果表明,和基于小波的传统编码方法相比,在低比特率下,该算法能减少图像的边缘模糊,提高压缩图像的识别度和峰值信噪比。

To improve the transmission efficiency and reduce the storage requirement, efficient encoding algorithms should be used to remove the residual information in images, and fewer bits should be used to describe images on restrictions of given distortion. Vector quantization is an efficient lossy compression technique, whose prominent virtues are high compression ratio and simple decoding process, so it has become one of important compression techniques for image coding.

为了提高传输效率和减少存储空间,必须采取有效的压缩编码算法消除图像中所包含的各种冗余信息并在给定的失真条件下使用尽量少的比特数来描述图像。

In the dissertation,the principle and implementation of embedded networking image surveillant system based on wavelet compression are discussed..

本文论述了基于小波压缩的嵌入式网络图像监控终端的原理和实现。本文首先综述了图像监控系统的历史发展和组成。

The symbolic method made the function of the computer have qualitative leaps, it can used not only in number value and calculate but also in the reasoning of formulae and symbolic processing.

本文将二值图像转换成连通图的形式,采用了RLC的数据结构压缩图像数据,路径的搜索工作都是在连通图的基础上进行的。

To fulfill the needs for video pictures under different resolutions, controlling system accomplishes data sampling, compression and saving under a variety of resolutions in compliance with protocols made by VESA. This is to ensure the stability when switching between different resolutions. Systems with resolution of 1600*1200 with refreshing frequency as high as 60 Hz are therefore made possible.

为了满足不同分辨率下视频图像的播放需要,根据视频电子标准协会制定的协议,控制系统完成在各种分辨率下视频数据的采集,压缩,存储,保证系统在不同分辨率下切换的稳定性,使得系统最高支持60Hz刷新频率下1600*1200的分辨率,支持高清图像的播放。

Probably the most visible image processing is occurring in the development of standards for image and video compression.

也许最明显的图像处理发生在制定标准的图像和视频压缩。

To decrease extraction errors made by image noise and natural boundary incontinuity,authors make an accurate multi-segmentation with Bayes classification technique to revise the result.

纹理合成技术应用广泛,一个成功的纹理合成算法可以应用在图像缺失信息填补、图像、视频压缩、背景移除、真实感造型等领域。

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