Image saliency detection in wavelet domain based on the contrast sensitivity function

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 wa...

Full description

Saved in:
Bibliographic Details
Main Authors: Ying-chun GUO, Yan-hong FENG, Gang YAN, Ming YU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2015-10-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015262/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841539645257547776
author Ying-chun GUO
Yan-hong FENG
Gang YAN
Ming YU
author_facet Ying-chun GUO
Yan-hong FENG
Gang YAN
Ming YU
author_sort Ying-chun GUO
collection DOAJ
description 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,Cb,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.
format Article
id doaj-art-4424902748de464f8c772e1f543b141b
institution Kabale University
issn 1000-436X
language zho
publishDate 2015-10-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-4424902748de464f8c772e1f543b141b2025-01-14T06:53:47ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-10-0136475559696176Image saliency detection in wavelet domain based on the contrast sensitivity functionYing-chun GUOYan-hong FENGGang YANMing YUA 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,Cb,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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015262/saliency detectionCSF filteringwavelet domainlow-pass coefficients
spellingShingle Ying-chun GUO
Yan-hong FENG
Gang YAN
Ming YU
Image saliency detection in wavelet domain based on the contrast sensitivity function
Tongxin xuebao
saliency detection
CSF filtering
wavelet domain
low-pass coefficients
title Image saliency detection in wavelet domain based on the contrast sensitivity function
title_full Image saliency detection in wavelet domain based on the contrast sensitivity function
title_fullStr Image saliency detection in wavelet domain based on the contrast sensitivity function
title_full_unstemmed Image saliency detection in wavelet domain based on the contrast sensitivity function
title_short Image saliency detection in wavelet domain based on the contrast sensitivity function
title_sort image saliency detection in wavelet domain based on the contrast sensitivity function
topic saliency detection
CSF filtering
wavelet domain
low-pass coefficients
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015262/
work_keys_str_mv AT yingchunguo imagesaliencydetectioninwaveletdomainbasedonthecontrastsensitivityfunction
AT yanhongfeng imagesaliencydetectioninwaveletdomainbasedonthecontrastsensitivityfunction
AT gangyan imagesaliencydetectioninwaveletdomainbasedonthecontrastsensitivityfunction
AT mingyu imagesaliencydetectioninwaveletdomainbasedonthecontrastsensitivityfunction