融合超像素与窗口偏移的多尺度引导滤波

龙建武; 朱江洲

doi:10.11959/j.issn.1000-436x.2022220

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融合超像素与窗口偏移的多尺度引导滤波

学术论文 | 更新时间：2024-06-05

- 融合超像素与窗口偏移的多尺度引导滤波
- Multi-scale guided filtering integrated with superpixel and patch shift
- 通信学报 2022年43卷第11期页码：158-170
- 作者机构：
  
  重庆理工大学计算机科学与工程学院，重庆 400054
- 作者简介：
  
  [ "龙建武（1984− ），男，湖北恩施人，博士，重庆理工大学副教授、硕士生导师，主要研究方向为图像处理与机器学习" ]
  [ "朱江洲（1994− ），男，湖南长沙人，重庆理工大学硕士生，主要研究方向为图像处理与机器学习" ]
- 基金信息：
  
  重庆市教育委员会科学技术研究计划青年基金资助项目(KJQN202201148);国家自然科学基金青年科学基金资助项目(61502065);重庆市科委基础科学与前沿技术研究重点基金资助项目(cstc2015jcyjBX0127);重庆市教委人文社科研究重点基金资助项目(17SKG136);重庆理工大学研究生创新基金资助项目(clgycx20202096)
- DOI：10.11959/j.issn.1000-436x.2022220
  中图分类号： TP391
- 网络出版日期：2022-11，
  
  纸质出版日期：2022-11-25
- 稿件说明：
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龙建武, 朱江洲. 融合超像素与窗口偏移的多尺度引导滤波[J]. 通信学报, 2022,43(11):158-170.

Jianwu LONG, Jiangzhou ZHU. Multi-scale guided filtering integrated with superpixel and patch shift[J]. Journal on communications, 2022, 43(11): 158-170.
龙建武, 朱江洲. 融合超像素与窗口偏移的多尺度引导滤波[J]. 通信学报, 2022,43(11):158-170. DOI： 10.11959/j.issn.1000-436x.2022220.

Jianwu LONG, Jiangzhou ZHU. Multi-scale guided filtering integrated with superpixel and patch shift[J]. Journal on communications, 2022, 43(11): 158-170. DOI： 10.11959/j.issn.1000-436x.2022220.

摘要

为避免边缘在滤波时容易出现模糊的现象，提出融合超像素与窗口偏移的多尺度引导滤波。首先，对图像进行双边滤波以得到更加准确的超像素区域；然后，通过窗口偏移的度量函数选择尽可能不包含边缘信息的局部窗口，取与当前像素所在超像素区域的重叠部分作为最终滤波区域；最后，使用小尺度窗口保留边缘，再增大窗口尺度进行迭代引导滤波，融合不同尺度窗口的滤波结果得到最终的滤波输出，实现平滑细节的同时保留结构边缘。此外，提出更适用于滤波结果质量评价的指标并在不同算法中进行对比，所提算法有着更强的边缘保留能力，能获得比其他算法更佳的滤波效果。

Abstract

In order to avoid the phenomenon that edges were easily blurred during filtering

a multi-scale guided filtering integrated with superpixel and patch shift was proposed.Firstly

the bilateral filtering was applied to an input image to get more accurate superpixel regions.Then

the overlapping was used as the final filtering region

which was formed by the local window and the superpixel.The local window was selected by a metric function so that it did not contain edge information as much as possible.Finally

a small-scale window was used to preserve the edges

and then the window scale was increased for iterative guided filtering.The final filtering output was calculated by fusing the results of different window scales to smooth details while preserving the structural edges.Additionally

the evaluation index of filtering results quality was proposed and compared in different algorithms.The proposed algorithm has stronger edge preservation ability and can obtain better filtering effectiveness than other algorithms.

关键词

Keywords

references

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