Real-time object correction algorithm using cellular neural network for interactive color image processor

Takami Satonaka, Koji Asari, Shinichi Katsu, Tatsuo Otsuki, Takaaki Baba

研究成果: Conference contribution

抄録

We present a novel model for realizing a real-time image correction of specified objects in moving pictures. A cellular neural network incorporating human visual perception functions is proposed. It enables real-time color feature detection and smoothing interpolation of the object. This model is efficiently implemented into LSI circuits by using the finite element method. Smooth and selective correction effects are obtained in the face correction.

元の言語English
ホスト出版物のタイトルProceedings of the Color Imaging Conference: Color Science, Systems, and Applications
編集者 Anon
出版場所Springfield, VA, United States
出版者Soc Imaging Sci Technol
ページ126-129
ページ数4
出版物ステータスPublished - 1995
外部発表Yes
イベントProceedings of the 1995 3rd Color Imaging Conference: Color Science, Systems, and Applications - Scottsdale, AZ, USA
継続期間: 1995 11 71995 11 10

Other

OtherProceedings of the 1995 3rd Color Imaging Conference: Color Science, Systems, and Applications
Scottsdale, AZ, USA
期間95/11/795/11/10

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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