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

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

*Corresponding author for this work

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 publicationProceedings of the Color Imaging Conference: Color Science, Systems, and Applications
Editors Anon
Place of PublicationSpringfield, VA, United States
PublisherSoc Imaging Sci Technol
Pages126-129
Number of pages4
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the 1995 3rd Color Imaging Conference: Color Science, Systems, and Applications - Scottsdale, AZ, USA
Duration: 1995 Nov 71995 Nov 10

Other

OtherProceedings of the 1995 3rd Color Imaging Conference: Color Science, Systems, and Applications
CityScottsdale, AZ, USA
Period95/11/795/11/10

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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