Spectrum Analyzing of Image Edges and Application in Transform Coding

谭雁英; 董志信

您当前的位置：

首页 >

文章列表页 >

Spectrum Analyzing of Image Edges and Application in Transform Coding

更新时间：2025-12-08

- Spectrum Analyzing of Image Edges and Application in Transform Coding
- Acta Electronica Sinica Issue 9, (1995)
- 作者机构：
  
  西北工业大学
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.8
- Published：1995
- 稿件说明：
移动端阅览
[1]谭雁英,董志信.图像边缘信息的谱分析及其在变换编码中的应用[J].电子学报,1995(09):61-65.

谭雁英, 董志信. Spectrum Analyzing of Image Edges and Application in Transform Coding[J]. Acta Electronica Sinica, 1995, (9).
[1]谭雁英,董志信.图像边缘信息的谱分析及其在变换编码中的应用[J].电子学报,1995(09):61-65. DOI：

谭雁英, 董志信. Spectrum Analyzing of Image Edges and Application in Transform Coding[J]. Acta Electronica Sinica, 1995, (9). DOI：

摘要

本文对边缘信息的ＤＣＴ频谱特征做了分析。通过理论推导及事例分析证得含平直单边缘图像子块，其ＤＣＴ变换系数能量并不总是集中分布在与其空间边缘走向垂直的方向上。将研究结果应用于变换编码的分类环节，提出一种按边缘信息的频谱特性分类的方法，实验结果表明了该方法的有效性。

Abstract

The DCT frequency spectrum features of image edges are analyzed theoretically and illustrated by numerical examples. It is proved that for a image subblock with a single straight edge

the DCT coefficient. energy compaction orientation and the spatial edge orientation are not always orthogonal. With this result applied to transform coding

a classification technique based on the frequency spectrum features of edges is put forward. Experiments show that this classification technique is effective.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Intelligent Detection Method of Satellite Signal Based on DETR_S

Multiple Description Coding by Mojette Tranform for Image

A Method for Multiresolution Threshold Selection Based on the Wawelet Transform

Related Author

LI Yu

SHI Xiao-ran

MIAO Hao-qian

WANG Xiao-ning

ZHOU Feng

JI Wen-ping

SHEN Lan-sun

解梅

Related Institution

Key Laboratory of Electronic Information Countermeasure and Simulation Technology, Ministry of Education, Xidian University

Signal and Information Processing Laboratory,Beijing University of Technology

成都电子科技大学电子工程学院

⁰