Image Demosaicking via Chrominance Images with Parallel Convolutional Neural Networks

Takuro Yamaguchi, Masaaki Ikehara

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    Many conventional demosaicking methods are based on hand-crafted filters. However, the filters yield false colors in salient regions like edges and textures. For acquisition of high quality images, we focus on neural networks. Neural networks lead to high accuracy in many fields. However, there are few methods in demosaicking field. For adaptation to demosaicking, we consider not only network's architecture but also the input. In this research, we utilize a Bayer image as input of our networks. However, different filter is needed in estimation at different color pixels, for example, missing red value at green pixel and that at blue pixel. Therefore, we prepare four networks with downsampling operators classified by color patterns in Bayer images. This downsampling operator not only identifies the color pattern but also reduces the calculation cost in each network due to reduction of the size of feature maps. Besides, preparation of multi-networks instead of a deep single-network is suitable for today's parallel computing. Moreover, we utilize not missing color images but chrominance images as output. Compared to results with missing color images as output, the results with chrominance images obtains higher accuracy. Experimental results show our CNN-based approach produces high quality restored images.

    本文言語English
    ホスト出版物のタイトル2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ1702-1706
    ページ数5
    ISBN(電子版)9781479981311
    DOI
    出版ステータスPublished - 2019 5 1
    イベント44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom
    継続期間: 2019 5 122019 5 17

    出版物シリーズ

    名前ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    2019-May
    ISSN(印刷版)1520-6149

    Conference

    Conference44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
    国/地域United Kingdom
    CityBrighton
    Period19/5/1219/5/17

    ASJC Scopus subject areas

    • ソフトウェア
    • 信号処理
    • 電子工学および電気工学

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