Back to articles
Articles
Volume: 3 | Article ID: art00033
Image
A Real-time Object Correction Algorithm using Cellular Neural Network for Interactive Color Image Processor
  DOI :  10.2352/CIC.1995.3.1.art00033  Published OnlineJanuary 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.

Subject Areas :
Views 3
Downloads 0
 articleview.views 3
 articleview.downloads 0
  Cite this article 

Takami Satonaka, Koji Asari, Shinichi Katsu, Tatsuo Otsuki, Takaaki Baba, "A Real-time Object Correction Algorithm using Cellular Neural Network for Interactive Color Image Processorin Proc. IS&T 3rd Color and Imaging Conf.,  1995,  pp 126 - 129,  https://doi.org/10.2352/CIC.1995.3.1.art00033

 Copy citation
  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