[1] 张景祥.王士同.邓赵红.等.融合异构特征的子空间迁
移学习算法[J]. 自动化学报. 2014.(2):236-246.
ZHANG Jingxiang. Wang Sh
itong. DENG Zhaohong et al. A subspace transfer lea
rning algorithm integrating heterogeneous features[J].
Acta automatica sinica 2014,40(2):236-246
[2] Portilla J, Simoncelli E P. A Parametric Texture Mod
el Based on Joint Statistics of Complex Wavelet Coef
ficients[J]. International Journal of Computer Vision, 2
000(40):49-70.
[3] Semmo A , Limberger D.,Kyprianidis J.E , Dollner
J. Image Stylization by Oil Paint Filtering Using Col
or Palettes[J]. Workshop on Computational Aesthetics.
Potsdam, 2015:149158.
[4] Shih Y.C, Paris S, Barnes C, Freeman W.T, Durand F.
Style Transfer for Headshot Portraits[J]. ACM Transa
ctions on Graphics, 2014(33):1-14.
[5] LI X.T,LIU S.F,Kautz J,YANG M.H. Learning Li
near Transformations for Fast Arbitrary Style Transfer
[J],arXiv: 1808.04537.2018
[6] CHEN D.D,YUAN L,LIAO J,YU N.H.,HUA G.
StyleBank:An Explicit Representation for Neural Image Style Transfer.[J]. arXiv:1506:02753. 2017
[7] Gatys L A, Ecker A S, Bethge M. A Neural Algor-it
hm of Artistic Style[DB]. eprint ar-Xiv:1508.06576, 2
015.
[8] Gatys L A, Ecker A S, Bethge M. Image Style Trans
fer Using Convolutional Neural Networks[C]//2016 IE
EE Conference on Computer Vision and Pattern Reco
gnition(CVPR).IEEE, 2016:2414-2423.
[9] 郑茗化, 白本督等人. 基于局部均方差的神经网络图
像风格转换[J]. 现代电子技术, 2019.14.033.
Zheng Minghua BAI Bendu
et al.Neural Network Image Style Conversion Based o
n Local Mean Square Error[J]. Modern ElectronicsTec
hniqu. 2019.14.033
[10] Risser E, Wilmot P, Barnes C. Stable And Controllabl
e Neural Texture Synthesis And Style Transfer Using
Histogram Losses[J]. ComputerScience, 2017, arXiv:
1701.08893.
[11] Li C, Wand M. Combining Markov RandomFields An
d Convolution Neural Networks For Image Synthesis
[C]. Computer Vision andPattern Recognition, IEEE,
2016:2479-248.
[12] BERGER G, MEMISEVIC R. Incorporating long rang
e consistency in CNN-based texture generation[J]. Co
mputer Science,arXiv:1606,2016.
[13] LI Y, LIU M Y, LI X,et al. A closed-form solution t
o photo-realistic image stylization[EB/OL].[2019-07-23].
https://arxiv.org/pdf/1802.06474.pdf.
[14] Goodfellow I J, Pouget-Abadie J, Mirza M, et al. Ge
nerative adversarial nets[C]//Proceedings of the 28th I
nternational Conference on Neural Information Process
ing Systems. Massachusetts: MIT Press,2014:2672-268
0.
[15] HUANG X, BELONGIE S. Arbitrary style transfer in
real-time with adaptive instance normalization[J]. IEE
E International Conference on Computer Vision, 2017:
1510-1519.
[16] 张航,曹瞻,基于局部均值与方差的图像中值滤波方法
[J].中南大学学报(自然科学版), 2013, 44(z2):381-38
4. ZHANG Hang, CAO Zhan. Image median filter m
ethod based on local mean and variance[J]. Journal of
Central South University(Science and technology), 20
13, 44(S2): 381-384.
[17] LIU Xiuwen, LIU Zhi, ZHOU Xiaofei,et all.Saliency-
guided image style transfer[C]//International Conferenc
e on Multimedia & Expo Workshops, 2019:66-71.
[18] ZHU Ting, LIU Shiguang. Detail-preserving arbitrary
stylle transfer[C]//In Proceedings of the IEEE Internati
onal Conference on Multimedia and Expo(ICME), 202
0:1-6.
[19] 谢志峰, 叶冠桦, 闫淑萁,等. 基于生成对抗网络的 H
DR 图像风格迁移技术[J]. 上海大学学报(自然科学
版), 2018, 24(4):524-534. XIE Zhifeng, YE Guanh
ua, YAN Shuqi, et al HDR image style transfer techn
ology based on generative confrontation network[J].Jo
urnal of Shanghai University (Natural Science Edition),
2018, 24(4):524-534.
[20] Simonyan K, Zisserman A. Very Deep Con-volutional
Networks for Large-Scale Image Recognition[J]. epri
nt arXiv:1409.1556,2014.
[21] 高飞, 黄启宏, 程卫东等. 边缘检测算子的改进研究
[J]. 数字技术与应用. 2016(01) GAO Fei, HUAN
G Qihong, CHENG Weidong. et al. Research on Impr
ovement of EdgeDete , ction Operator[J]. Digital Tech
nology and Application. 2016(01)
[22] 虎玲, 常霞, 纪峰. 图像边缘检测方法研究新进展[J].
现代电子技术. 2018(23) HU ling, Chang xia
,JI Feng. New Progress in Research on Image Edge
Detection[J]. Modern Electronics Technique. 2018(23)
[23] 苗英杰,崔琛. 基于 BFGS 拟牛顿法的观测矩阵优化算
法[J]. 电子信息对抗技术. 2019.06.008
MIAO Yingjie, CUI Shen. Observation matrix optimization algorithm based on BF
GS quasi-Newton method[J]. Electronic Information W
arfare Technology. 2019.06.008
|