矢量量化编码 meaning in English
vqc vector quantitation coding
Examples
- Frequently used major coding methods include predical code , transform code , vectol quantization , wavelet transform code , fractal code , ect
常见的主要编码方法有预测编码、变换编码、矢量量化编码、小波编码、分形编码等等。 - In order to implement copyright protection and content authentication of the vq compressed data , the research work of this thesis focuses on the vq based watermarking algorithm
为了实现对矢量量化编码多媒体数据的版权保护和内容认证,本文研究基于矢量量化的数字水印算法。 - However , there still exists correlation between coefficients of sub - matrices after 4d - mdct . this thesis proposes a four dimensional matrix video coding method based on context to get rid of the correlation between coefficient sub - matrices further . it includes three parts as follows : firstly , this thesis presents a four - dimensional matrix video encoder and decoder model , which contains components of prediction , transform and entropy coding
实验结果表明,该方法与传统的二维编码方法相比,具有高压缩比和高图象质量的优点;与矢量量化编码相比,具有码表体积小,计算复杂度低的特点;与霍夫曼编码方法相比,在相同信噪比的条件下,对运动相对剧烈的视频序列压缩效果要更好。 - In the paper , chapter 1 gives a comprehensive introduction of digital image compressing including its recent status , technical standards , classification in the world . chapter 2 introduces briefly the thought and ii procedure of vector quantization , describes lgb algorithm and vector quantization based on sofm neural network . chapter 3 discusses predictable coding in lossy and lossless aspects , analyzes adaptive predictable coding based on bp neural network , introduces the evaluation of algorithm on neural network in image compression . chapter 4 discusses the applications of mathematical transformation in image compression and does experiments related , analyzes the strategies of image coding in transformed domain . in chapter 5 images are decomposed and represented by wavelet transform , then discusses the characteristics and effects of wavelet functions in image compression , analyzes the wavelet coefficients after images are decomposed ; based on the theories and analyses in the prior chapters , the paper presents an image compression scheme and gives results . the test results shows that the image compression scheme is practical and helpful to map into the local content of images to get rid off redundancy , so that , it can require satisfactory results of image compression
方案首先利用小波多分辨分析性质，对图像进行小波分解，对分解后各子图的小波系数进行了统计分析，针对各子图的小波系数特点，对不同的子图分别采用不同的压缩方法，低频子图采用基于神经网络的自适应预测编码，高频子图采用基于神经网络的矢量量化编码，从而实现对图像数据的压缩处理。本论文第一章介绍了数字图像压缩处理的国内外当前的概况以及其技术标准和分类。在第二章，介绍了数字图像的矢量量化技术的数学思想和过程，对lbg算法和基于sofm神经网络的矢量量化进行了阐述、分析。 - 3 . studying still image transmission systems without channel coding or with turbo codes over both awgn and rayleigh fading channels by matlab simulation . simulation results show that turbo codes not only advance the dependability of communication systems , but also reduce channel signal - to - noise ratio ( snr )
将turbo码应用于静止图像传输系统，信源编码采用矢量量化编码，分别在awgn信道和rayleigh衰落信道下，对不采用信道编码和采用turbo码作为信道编码的各种情况进行仿真。