DocumentCode :
2198669
Title :
Interpolation using neural network for digital still cameras
Author :
Jinwook Go ; Chulhee Lee
Author_Institution :
Dept. of Electr. & Comput. Eng., Yonsei Univ., Seoul, South Korea
fYear :
2000
fDate :
13-15 June 2000
Firstpage :
176
Lastpage :
177
Abstract :
We propose a color interpolation method for single-chip digital cameras using artificial neural networks. Single-chip digital cameras use a color filter array and an interpolation method in order to produce high quality color images from sparsely sampled images. Experiments show that the proposed interpolation algorithm based on neural networks provides a better performance than the conventional interpolation algorithms.
Keywords :
CCD image sensors; cameras; filters; image color analysis; interpolation; neural nets; ANN; artificial neural networks; color filter array; color interpolation method; digital still cameras; experiments; high quality color images; interpolation algorithm; performance; single chip CCD camera; single-chip digital cameras; sparsely sampled images; Charge coupled devices; Charge-coupled image sensors; Color; Digital cameras; Digital filters; Interpolation; Multimedia systems; Neural networks; Spline; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, 2000. ICCE. 2000 Digest of Technical Papers. International Conference on
Conference_Location :
Los Angles, CA, USA
Print_ISBN :
0-7803-6301-9
Type :
conf
DOI :
10.1109/ICCE.2000.854568
Filename :
854568
Link To Document :
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