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 language | English |
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Title of host publication | Proceedings of the Color Imaging Conference: Color Science, Systems, and Applications |
Editors | Anon |
Place of Publication | Springfield, VA, United States |
Publisher | Soc Imaging Sci Technol |
Pages | 126-129 |
Number of pages | 4 |
Publication status | Published - 1995 |
Externally published | Yes |
Event | Proceedings of the 1995 3rd Color Imaging Conference: Color Science, Systems, and Applications - Scottsdale, AZ, USA Duration: 1995 Nov 7 → 1995 Nov 10 |
Other
Other | Proceedings of the 1995 3rd Color Imaging Conference: Color Science, Systems, and Applications |
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City | Scottsdale, AZ, USA |
Period | 95/11/7 → 95/11/10 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition