| 数字图像离散小波变换的原理与硬件实现分析 |
| |
| 引用本文： | 孟军,魏同立,吴金,常昌远.数字图像离散小波变换的原理与硬件实现分析[J].东南大学学报(自然科学版),2002,32(6):842-847. |
| |
| 作者姓名： | 孟军 魏同立 吴金 常昌远 |
| |
| 作者单位： | 东南大学微电子中心,南京,210096 |
| |
| 基金项目： | 复旦大学专用集成电路与系统图像重点实验室开放课题资助项目 |
| |
| 摘 要： | 针对日益进步的图像变换编码技术，对目前已经纳入MPEG－4和JPEG2000编码标准的采用离散小波变换进行数字图像编码的原理与硬件实现进行了综述介绍。在分析小波变换快速算法的基础上，重点讨论了近10年来所提出的各种离散小波变换硬件实现的典型结构，在硬件资源与处理速度两个方面进行了比较。对于变换后的系数量化，总结了几种基于嵌入式零树小波编码的算法，比较其峰值信噪比和编码时间。相较于离散余弦变换进行图像编码，采用离散小波变换在压缩效率、还原图像质量上具有更大的优越性。
|
| 关 键 词： | 原理 硬件实现 图像编码 离散小波变换 量化 数字图像处理 |
| 文章编号： | 1001-0505(2002)06-0842-06 |
Principles and architectures of digital image coding with discrete wavelet transform |
| |
| Meng Jun,Wei Tongli,Wu Jin,Chang Changyuan.Principles and architectures of digital image coding with discrete wavelet transform[J].Journal of Southeast University(Natural Science Edition),2002,32(6):842-847. |
| |
| Authors: | Meng Jun Wei Tongli Wu Jin Chang Changyuan |
| |
| Abstract: | The principles and architectures of digital image coding with discrete wavelet transform (DWT), the advanced image coding method, which is the standard method of image coding in MPEG 4 and JPEG2000, are discussed in this paper. After the introduction of DWT and fast DWT algorithm, typical architectures used to realize DWT are given concerning their hardware cost and speed. To achieve the coefficient quantization, some algorithms based on embedded zero tree wavelet (EZW) coding are listed. Their peak signal noise rate (PSNR) and coding cycles are compared. Finally prospect for image coding is made. Compared with the discrete cosine transform (DCT), the DWT can offer more advantage in coding efficiency and decoding quality. |
| |
| Keywords: | image coding discrete wavelet transform (DWT) quantization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
