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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationFinal Program and Proceedings - IS and T/SID Color Imaging Conference
Pages126-129
Number of pages4
Publication statusPublished - 1995
Externally publishedYes
EventFinal Program and Proceedings of the 3th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications - Scottsdale, AZ
Duration: 1995 Nov 71995 Nov 10

Other

OtherFinal Program and Proceedings of the 3th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications
CityScottsdale, AZ
Period95/11/795/11/10

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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    Satonaka, T., Asari, K., Katsu, S., Otsuki, T., & Baba, T. (1995). A real-time object correction algorithm using cellular neural network for interactive color image processor. In Final Program and Proceedings - IS and T/SID Color Imaging Conference (pp. 126-129)