基于对比敏感度的小波域图像显著性检测

郭迎春; 冯艳红; 阎刚; 于明

doi:10.11959/j.issn.1000-436x.2015262

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基于对比敏感度的小波域图像显著性检测

学术论文 | 更新时间：2024-06-05

- 基于对比敏感度的小波域图像显著性检测
- Image saliency detection in wavelet domain based on the contrast sensitivity function
- 通信学报 2015年36卷第10期页码：47-55
- 作者机构：
  
  河北工业大学计算机科学与软件学院，天津 300401
- 作者简介：
  
  [ "郭迎春（1970-），女，河北张家口人，河北工业大学副教授，主要研究方向为数字图像处理、模式识别和计算机视觉等。" ]
  [ "冯艳红（1989-），女，河北石家庄人，河北工业大学硕士生，主要研究方向为图像处理和模式识别。" ]
  [ "阎刚（1977-），男，河北唐山人，河北工业大学副教授，主要研究方向为图像处理和智能交通。" ]
  [ "于明（1964-），男，河北秦皇岛人，河北工业大学教授、博士生导师，主要研究方向为图像处理、模式识别和计算机视觉及应用。" ]
- 基金信息：
  
  国家自然科学基金资助项目(60302018);天津市科技计划基金资助项目(14RCJFJX00845);河北省自然科学基金资助项目(F2015202239)
- DOI：10.11959/j.issn.1000-436x.2015262
  中图分类号： TP391.4
- 网络出版日期：2015-10，
  
  纸质出版日期：2015-10-25
- 稿件说明：
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郭迎春, 冯艳红, 阎刚, 等. 基于对比敏感度的小波域图像显著性检测[J]. 通信学报, 2015,36(10):47-55.

Ying-chun GUO, Yan-hong FENG, Gang YAN, et al. Image saliency detection in wavelet domain based on the contrast sensitivity function[J]. Journal on communications, 2015, 36(10): 47-55.
郭迎春, 冯艳红, 阎刚, 等. 基于对比敏感度的小波域图像显著性检测[J]. 通信学报, 2015,36(10):47-55. DOI： 10.11959/j.issn.1000-436x.2015262.

Ying-chun GUO, Yan-hong FENG, Gang YAN, et al. Image saliency detection in wavelet domain based on the contrast sensitivity function[J]. Journal on communications, 2015, 36(10): 47-55. DOI： 10.11959/j.issn.1000-436x.2015262.

摘要

为了提高显著图的分辨率，提出了一种基于对比敏感度函数和小波分析的高分辨率图像显著性检测算法。将图像在YCbCr空间进行对比敏感度滤波，用以模拟人眼所能分辨的对比度；进而在Y、Cb和Cr的单通道上进行小波分解，分别提取并合并低频和高频特征图得到单通道显著图，融合三通道得到图像的全分辨率显著图。实验结果表明得到的显著图目标清晰、显著物体整体突出且运算速度快。

Abstract

A method of high definition saliency detection based on contrast sensitive function and wavelet analysis was proposed in order to improve the resolution of saliency maps.Original image was filtered by contrast sensitive function in YCbCr space

which could simulate the contrast of human eyes; then wavelet decomposition was carried out in Y

and Cr three channels individually

low frequency and high frequency feature saliency maps were extracted and further combined to obtain saliency map in single channel; finally saliency maps in three channels were fused to the high resolution saliency map.Experiments result show that the saliency images have high resolution

well-defined boundaries

and whole highlight salient objects.

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Keywords

references

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