Demosaicing scheme based on augmented inter-channel correlation considering colour saturation

被引:0
|
作者
Kim, J. [1 ]
Park, S. W. [2 ]
Kang, M. G. [1 ]
机构
[1] Yonsei Univ, Sch Elect & Elect Engn, 50 Yonsei Ro, Seoul 03722, South Korea
[2] Daegu Gyeongbuk Med Innovat Fdn, Med Device Dev Ctr, 80 Cheombok Ro, Daegu 41061, South Korea
基金
新加坡国家研究基金会;
关键词
D O I
10.1049/el.2017.0707
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
Augmented colour difference gradients in the extended support region contribute to the reduction of high-frequency loss in image reconstruction via a demosaicing process. However, distant gradients must only be used for highly inter-channel correlated regions. Otherwise, the pattern grid remains, even after demosaicing. Herein, a demosaicing scheme is proposed, in which the geometric distances as well as the edge directions (as in a bilateral filter) are incorporated in order to calculate colour difference gradients weights. The inter-channel correlation is closely related to the colour saturation. Thus, the weights are adaptively adjusted according to the inter-channel correlation considering colour saturation. Experimental results show that the proposed scheme improves the results of a state-of-the-art demosaicing process.
引用
下载
收藏
页码:1112 / 1113
页数:2
相关论文
共 50 条
  • [31] Multiple Speech Source Separation Using Inter-Channel Correlation and Relaxed Sparsity
    Jia, Maoshen
    Sun, Jundai
    Zheng, Xiguang
    APPLIED SCIENCES-BASEL, 2018, 8 (01):
  • [32] Fast Enhancement Layer Intra Coding Based on Inter-channel Correlations and TU Depth Correlation in SHVC
    Zhu, Guojing
    Chen, Gaoxing
    Ikenaga, Takeshi
    2016 IEEE 12TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & ITS APPLICATIONS (CSPA), 2016, : 50 - 53
  • [33] Inter-channel Covariance Matrices Based Analyses of EEG Baselines
    Gopan K, Gopika
    Sinha, Neelam
    Babu J, Dinesh
    2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), 2022, : 1303 - 1307
  • [34] Noise insensitive high resolution demosaicing algorithm considering cross-channel correlation
    Kim, CW
    Kang, MG
    2005 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), VOLS 1-5, 2005, : 3677 - 3680
  • [35] Improved Synthesis Method of Negative Inter-channel Correlation Parameter Based on Anti-phase Primary Component
    Hyun, Dong-Il
    Lee, Seok-Pil
    Park, Young-Cheol
    Youn, Dae Hee
    JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA, 2012, 31 (06): : 410 - 418
  • [36] An analytical model of inter-channel interference in Bluetooth-based systems
    Sevillano, JL
    Diaz-del-Rio, F
    Jimenez, G
    Cascado, D
    Civit-Balcells, A
    2002 4TH INTERNATIONAL WORKSHOP ON MOBILE AND WIRELESS COMMUNICATION NETWORK, 2002, : 384 - 388
  • [37] Color image demosaicking using inter-channel correlation and nonlocal self-similarity
    Chang, Kan
    Ding, Pak Lun Kevin
    Li, Baoxin
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2015, 39 : 264 - 279
  • [38] Multiple Sound Source Localization Based on Inter-Channel Correlation Using a Distributed Microphone System in a Real Environment
    Cho, Kook
    Okumura, Hajime
    Nishiura, Takanobu
    Yamashita, Yoichi
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2010, E93D (09) : 2463 - 2471
  • [39] Color Image Restoration Exploiting Inter-Channel Correlation With a 3-Stage CNN
    Cui, Kai
    Boev, Atanas
    Alshina, Elena
    Steinbach, Eckehard
    IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2021, 15 (02) : 174 - 189
  • [40] An inter-channel mixing model based on the void distribution in a rod bundle
    He, Ming-yue
    Liu, Sha-sha
    He, Hui
    Pan, Liang-ming
    Ye, Ting-pu
    Ma, Zai-yong
    Zhu, Long-xiang
    PROGRESS IN NUCLEAR ENERGY, 2024, 168