H-GAN: Deep Learning Model for Halftoning and its Reconstruction

被引：5
|
作者：
Guo, Jing-Ming [1 ]
Sankarasrinivasan, S. [1 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei, Taiwan
来源：
2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) | 2020年
关键词：
D O I：
10.1109/icce46568.2020.9043160
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Digital halftone deals with transforming a gray scale image into its printable binary version. In this paper, a generative adversarial network-based model is proposed to perform both halftoning and its structural reconstruction. The GAN model is based on the concept of unpaired image to image translation and the model learns both transformations simultaneously. For optimal training, the model is feed with high structural data and the model architechture is also modified in accordance to this transformation problem. From results, it has been validated that the model performs with consistent accuracy in both transformations.
引用
收藏
页码：696 / 697
页数：2
相关论文
共 50 条
  • [31] Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech
    Korzekwa, Daniel
    Barra-Chicote, Roberto
    Kostek, Bozena
    Drugman, Thomas
    Lajszczak, Mateusz
    INTERSPEECH 2019, 2019, : 3890 - 3894
  • [32] Contribution of excitons in the photoluminescence spectra of h-GaN epitaxial layers grown on sapphire substrates by TF-MOCVD
    Chichibu, S
    Azuhata, T
    Sota, T
    Nakamura, S
    BLUE LASER AND LIGHT EMITTING DIODES, 1996, : 202 - 205
  • [33] REFINED STUDY OF SUPER-RESOLUTION RECONSTRUCTION OF NEAR-WALL TURBULENCE FIELD BASED ON CNN AND GAN DEEP LEARNING MODEL
    Wu, Haokai
    Chen, Yaoran
    Zhou, Dai
    Chen, Wenli
    Cao, Yong
    Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics, 2024, 56 (08): : 2231 - 2242
  • [34] Si(111)异质外延表面光滑H-GaN的制备和表征
    王帅
    刘文怡
    梁庭
    王勇
    刘俊
    熊继军
    传感器与微系统, 2011, (07) : 48 - 50
  • [35] Hybrid Deep Learning Model Based on GAN and RESNET for Detecting Fake Faces
    Safwat, Soha
    Mahmoud, Ayat
    Eldesouky Fattoh, Ibrahim
    Ali, Farid
    IEEE ACCESS, 2024, 12 : 86391 - 86402
  • [36] A Method of Information Protection for Collaborative Deep Learning under GAN Model Attack
    Yan, Xiaodan
    Cui, Baojiang
    Xu, Yang
    Shi, Peilin
    Wang, Ziqi
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 18 (03) : 871 - 881
  • [37] TEC Map Completion Through a Deep Learning Model: SNP-GAN
    Pan, Yang
    Jin, Mingwu
    Zhang, Shunrong
    Deng, Yue
    SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS, 2021, 19 (11):
  • [38] GAN based Deep Learning Model for Detecting Damage and Displacement of Cultural Asset
    Choi, Woo-Peon
    Park, Jung-Woo
    Lee, Sang-Yun
    2021 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-ASIA (ICCE-ASIA), 2021,
  • [39] Neural Audio Generation (GAN) Countermeasure Network Model Based on Deep Learning
    Zhu, Ni
    JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (09) : 747 - 753
  • [40] Deep learning reconstruction in ANTARES
    Garcia-Mendez, J.
    Geisselbrecht, N.
    Eberl, T.
    Ardid, M.
    Ardid, S.
    JOURNAL OF INSTRUMENTATION, 2021, 16 (09)
12345