Fast bilateral filter for multichannel images via soft-assignment coding

Kenjiro Sugimoto, Norishige Fukushima, Sei Ichiro Kamata

研究成果: Conference contribution

15 被引用数 (Scopus)

抄録

This paper presents an acceleration method of the bilateral filter (BF) for multi-channel images. In most existing acceleration methods, the BF is approximated by an appropriate combination of convolutions. A major purpose under this framework is to achieve sufficient approximate accuracy by as few convolutions as possible. However, state-of-the-art methods for multi-channel images still requires hundreds of (e.g., 256) convolutions to achieve sufficient accuracy. The proposed method reduces the number of convolutions without a loss in accuracy via soft-assignment coding. This approach enables us to take two major advantages that two state-of-the-art methods (scalar quantization with linear interpolation and vector quantization) have individually provided. Experiments show that the proposed method can produce sufficiently-accurate resulting images by using 64-80 convolutions only.

本文言語English
ホスト出版物のタイトル2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9789881476821
DOI
出版ステータスPublished - 2017 1 17
イベント2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016 - Jeju, Korea, Republic of
継続期間: 2016 12 132016 12 16

出版物シリーズ

名前2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016

Other

Other2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
国/地域Korea, Republic of
CityJeju
Period16/12/1316/12/16

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • 情報システム
  • 信号処理

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