计算机工程2009，Vol.35Issue(15)：238-240,3.
分布式小波视频编码自适应嵌套量化模型
Adaptive Nested Scalar Quantization Model for Distributed Wavelet Video Coding
李哲 1房胜 1李旭健 1李深远1
作者信息
- 1. 山东科技大学信息科学与工程学院,青岛266510
- 折叠
摘要
Abstract
An adaptive nested scalar quantization model for distributed wavelet video coding is proposed, which conducts wavelet transformation to Wyner-Ziv frame, and uses Slepian-Wolf coder to quantificate the low frequency subband coefficient while using SPIHT coder to program high frequency ones. By analyzing the error adaptive degree between low frequency subband coefficient and reference frame ones of Wyner-Ziv frame, the quantization step length of it is determined, which makes active video sequence have bigger step lenth, and the placid one have less step length, Experimental results show this model can obtain better coding effect.关键词
分布式视频编码/小波变换/嵌套量化/信道编码Key words
distributed video coding/ wavelet transform/ nested scalar quantization/ channel coding分类
自科综合引用本文复制引用
李哲,房胜,李旭健,李深远..分布式小波视频编码自适应嵌套量化模型[J].计算机工程,2009,35(15):238-240,3.
