[1]李晓颖,李思琪,洪雪梅,等.采用精确抠图的单幅自然图像背景虚化合成方法[J].华侨大学学报(自然科学版),2023,44(3):391-397.[doi:10.11830/ISSN.1000-5013.202301002]
　LI Xiaoying,LI Siqi,HONG Xuemei,et al.Synthesis Method for Background Blurring of Single Natural Image Using Accurate Matting[J].Journal of Huaqiao University(Natural Science),2023,44(3):391-397.[doi:10.11830/ISSN.1000-5013.202301002]
点击复制

采用精确抠图的单幅自然图像背景虚化合成方法()
分享到：

《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第44卷
期数:
2023年第3期
页码:
391-397
栏目:
出版日期:
2023-05-12

文章信息/Info

Title:
Synthesis Method for Background Blurring of Single Natural Image Using Accurate Matting
文章编号:
1000-5013(2023)03-0391-07
作者:
李晓颖1;  李思琪2;  洪雪梅1;  张海1
1. 华侨大学 信息科学与工程学院, 福建 厦门 361021;2. 福州大学 厦门工艺美术学院, 福建 厦门 361021
Author(s):
LI Xiaoying1;  LI Siqi2;  HONG Xuemei1;  ZHANG Hai1
1. College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China; 2. Xiamen Acdemy of Arts and Design, Fuzhou University, Xiamen 361021, China
关键词:
图像虚化;  局部二值模式;  颜色恒常;  GrabCut算法;  双边滤波
Keywords:
image blurring;  local binary patterns;  color constant;  GrabCut algorithm;  bilateral filter
分类号:
TP391
DOI:
10.11830/ISSN.1000-5013.202301002
文献标志码:
A
摘要:
针对小光圈镜头下的单幅自然图像背景虚化问题,提出一种基于精确抠图的单幅自然图像背景虚化合成方法.首先,利用GrabCut算法对单幅自然图像的前景对象进行初始抠图;其次,采用基于局部二值模式算子的颜色恒常性算法提取图像纹理,并对初始抠图实现精确割图;然后,通过双边滤波虚化背景部分;最后,将精确分割后的前景部分与虚化后的背景部分合成.仿真结果表明:文中算法可以获得高质量的分割和视觉自然的背景虚化效果.
Abstract:
Aiming at the problem of background blurring of single natural image under small aperture lens, a synthesis method of background blurring of single natural image based on accurate matting is proposed. Firstly, the GrabCut algorithm is used to perform initial matting on the foreground object of single natural image. Secondly, the color constancy algorithm based on local binary patterns operator is used to extract the image texture, and the initial matting is precisely cut. Then, the background is virtualized by bilateral filter. Finally, the accurately segmented foreground part is combined with the virtualized background part. Simulation results show that the proposed algorithm can achieve high-quality segmentation and visually natural background blurring effects.

参考文献/References:

[1] GAMADIA M,KEHTARNAVAZ N.A filter-switching auto-focus framework for consumer camera imaging systems[J].IEEE Transactions on Consumer Electronics,2012,58(2):228-236.DOI:10.1109/TCE.2012.6227417.
[2] YOUSEFI S,RAHMAN M,KEHTARNAVAZ N.A new auto-focus sharpness function for digital and smart-phone cameras[J].IEEE Transactions on Consumer Electronics,2011,7(3):1003-1009.DOI:10.1109/TCE.2011.6018848.
[3] BARRON J T,ADAMS A,SHIH Y C,et al.Fast bilateral-space stereo for synthetic defocus[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Boston:IEEE Press,2015:4466-4474.DOI:10.1109/cvpr.2015.7299076.
[4] 肖进胜,杜康华,涂超平,等.基于多聚焦图像深度信息提取的背景虚化显示[J].自动化学报,2015,41(2):304-311.DOI:10.16383/j.aas.2015.c140059.
[5] 苏超然,陈羽中.一种结合显著性检测的肖像照片自动背景虚化算法[J].小型微型计算机系统,2019,40(2):427-431.DOI:10.3969/j.issn.1000-1220.2019.02.032.
[6] DUTTA S.Depth-aware blending of smoothed images for bokeh effect generation[J].Journal of Visual Communication and Image Representation,2021,77:103089.DOI:10.1016/j.jvcir.2021.103089.
[7] 刘成民,叶武剑,刘怡俊.基于图像感知与分割的自动背景虚化算法[J].激光与光电子学进展,2022,59(4):69-78.DOI:10.3788/LOP 202259.0410002.
[8] ROTHER C,KOLMOGOROV V,BLAKE A.GrabCut: Interactive foreground extraction usingiterated graph cuts[J].ACM Transactions on Graphics,2004,23(3):309-314.DOI:10.1145/1015706.1015720.
[9] CHENG Mingming,ZHANG Guoxin,MITRA N J,et al.Global contrast based salient region detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2014,37(3):569-582.DOI:10.1109/TPAMI.2014.2345401.
[10] CHEN Weihai,KOU Fei,WEN Changyun,et al.Automatic synthetic background defocus for a single portrait image[J].IEEE Transactions on Consumer Electronics,2017,63(3):234-242.DOI:10.1109/TCE.2017.014952.
[11] OJALA T,PIETIKAINEN M,HARWOOD D.Performance evaluation of texture measures with classification based on Kullback discrimination of distributions[C]//Proceedings of 12th International Conference on Pattern Recognition.Jerusalem:IEEE Press,1994:582-585.DOI:10.1109/icpr.1994.576366.
[12] OJALA T,PIETIKAINEN M,HARWOOD D.A comparative study of texture measures with classification based on featured distributions[J].Pattern Recognition,1996,29(1):51-59.DOI:10.1016/0031-3203(95)00067-4.
[13] VAN D W J,GEVERS T,GIJSENIJ A.Edge-based color constancy[J].IEEE Transactions on Image Processing,2007,16(9):2207-2214.DOI:10.1109/TIP.2007.901808.
[14] YUE Boxuan,LIU Kangling,WANG Ziyang,et al.Accelerated haze removal for a single image by dark channel prior[J].Frontiers of Information Technology and Electronic Engineering,2019,20(8):1109-1119.DOI:10.1631/fitee.1700148.
[15] TOMASI C,MANDUCHI R.Bilateral filtering for gray and color images[C]//Sixth International Conference on Computer Vision.Bombay:IEEE Press,1998:839-846.DOI:10.1109/ICCV.1998.710815.
[16] NARASIMHAN S G,NAYAR S K.Chromatic framework for vision in bad weather[C]//Proceedings IEEE Conference on Computer Vision and Pattern Recognition.Hilton Head:IEEE Press,2000:598-605.DOI:10.1109/cvpr.2000.855874.
[17] FATTAL R.Single image dehazing[J].ACM Transactions on Graphics,2008,27(3):1-9.DOI:10.1145/1360612.1360671.
[18] TAN R T.Visibility in bad weather from a single image[C]//IEEE Conference on Computer Vision and Pattern Recognition.Anchorage:IEEE Press,2008:1-8.DOI:10.1109/CVPR.2008.4587643.
[19] 李兵.颜色恒常性计算研究[D].北京:北京交通大学,2009.
[20] CODEVILLA F,GAYA J D O,DUARTE A C,et al.General participative media single image restoration[EB/OL].(2017-01-17)[2022-10-10] .https://arxiv.org/abs/1603.01864v1.
[21] NARASIMHAN S G,NAYAR S K.Vision and the atmosphere[J].International Journal of Computer Vision,2002,48(3):233-254.DOI:10.1023/A:1016328200723.
[22] FORSYTH D A,PONCE J.Computer vision: A modern approach Prentice Hall[M].Upper Saddle River:Prentice Hall Professional Technical Reference,2002.
[23] BARNARD K.Practical colour constancy[M].Burnaby:Simon Fraser University,1999.
[24] BUCHSBAUM G.A spatial processor model for object colour perception[J].Journal of the Franklin Institute,1980,310(1):1-26.DOI:10.1016/0016-0032(80)90058-7.
[25] HUANG He,STEINIGER K A,LAMBERT T H.Electrophotocatalysis: Combining light and electricity to catalyze reactions[J].Journal of the American Chemical Society,2022,144(28):12567-12583.DOI:10.1021/jacs.2c01914.
[26] 刘常杰,王浩川,王国庆,等.融合颜色和纹理的背景建模方法[J].激光与光电子学进展,2022,59(22):378-384.DOI:10.3788/LOP202259.2233002.

相似文献/References:

[1]陈远,陈锻生.一种融合LBP纹理特征的多姿态人脸跟踪方法[J].华侨大学学报(自然科学版),2010,31(3):282.[doi:10.11830/ISSN.1000-5013.2010.03.0282]
　CHEN Yuan,CHEN Duan-sheng.A Multi-View Face Tracking Method Syncretized LBP Texture Feature[J].Journal of Huaqiao University(Natural Science),2010,31(3):282.[doi:10.11830/ISSN.1000-5013.2010.03.0282]
[2]刘群,陈锻生.采用ACGAN及多特征融合的高光谱遥感图像分类[J].华侨大学学报(自然科学版),2019,40(1):113.[doi:10.11830/ISSN.1000-5013.201710006]
　LIU Qun,CHEN Duansheng.Classification of Hyperspectral Remote Sensing Images Using ACGAN and Fusion of Multifeature[J].Journal of Huaqiao University(Natural Science),2019,40(3):113.[doi:10.11830/ISSN.1000-5013.201710006]

备注/Memo

备注/Memo:
收稿日期: 2023-01-04
通信作者: 李晓颖(1991-),女,实验师,主要从事图像处理的研究.E-mail:lixiaoying@hqu.edu.cn.
基金项目: 福建省自然科学基金面上资助项目(2021J01288)
更新日期/Last Update: 2023-05-20