Feature Preserving Bidirectional Fuzzy Flow for Image Sharpening

FU Shu-jun; RUAN Qiu-qi; MU Cheng-po; WANG Wen-qia

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Feature Preserving Bidirectional Fuzzy Flow for Image Sharpening

更新时间：2025-07-16

- Feature Preserving Bidirectional Fuzzy Flow for Image Sharpening
- Acta Electronica Sinica Vol. 35, Issue 11, Pages: 2172-2175(2007)
- 作者机构：
  
  1. 山东大学数学与系统科学学院,山东,济南,250100
  2. 北京交通大学信息科学研究所,北京,100044
  3. 北京理工大学宇航科学技术学院,北京,100081
  4. 山东大学数学与系统科学学院,山东,济南,250100
  5. 北京交通大学信息科学研究所北京,100044
  6. 北京理工大学宇航科学技术学院北京,100081
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：2007
- 稿件说明：
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FU Shu-jun, RUAN Qiu-qi, MU Cheng-po, et al. Feature Preserving Bidirectional Fuzzy Flow for Image Sharpening[J]. Acta Electronica Sinica, 2007, 35(11): 2172-2175.
DOI：

FU Shu-jun, RUAN Qiu-qi, MU Cheng-po, et al. Feature Preserving Bidirectional Fuzzy Flow for Image Sharpening[J]. Acta Electronica Sinica, 2007, 35(11): 2172-2175. DOI：

摘要

本文基于模糊集合理论

提出了一个双向模糊扩散框架.这个框架沿着等照度线(边缘)的梯度方向实施模糊的反向扩散;而相反地沿切线方向实施确定的正向扩散.为了保持图像特征的自然过渡

利用图像的局部结构张量的特征值检测图像的不同特征

并进行相应的锐化处理.

Abstract

In this paper

we propose a bidirectional fuzzy flow framework based on fuzzy sets

which performs a fuzzy backward (inverse) diffusion along the gradient direction to the isophote lines (edges)

while a certain forward diffusion along the tangent direction on the contrary.To preserve the natural transition of image features

the eigenvalues of local image structure tensor are used to detect different features

which are sharpened correspondingly.

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