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Volume: 3 | Article ID: art00033
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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
  DOI :  10.2352/CIC.1995.3.1.art00033  Published Online :  January 1995
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.

Journal Title : Color and Imaging Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
Subject Areas :
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 DOI 10.2352/CIC.1995.3.1.art00033
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Takami Satonaka, Koji Asari, Shinichi Katsu, Tatsuo Otsuki, Takaaki Baba, "A Real-time Object Correction Algorithm using Cellular Neural Network for Interactive Color Image Processor"  in Proc. IS&T 3rd Color and Imaging Conf.,  1995,  pp 126 - 129,  https://doi.org/10.2352/CIC.1995.3.1.art00033

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  Copyright statement 
Copyright © Society for Imaging Science and Technology 1995
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2166-9635(19950101)1995:1L.126;1-
cic_v1995n1/splitsection33.xml
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Articles
A Real-time Object Correction Algorithm using Cellular Neural Network for Interactive Color Image Processor
SatonakaTakami
AsariKoji
KatsuShinichi
OtsukiTatsuo
BabaTakaaki
01011995
1995
1
126
129
1995
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.