DocumentCode
1591090
Title
An Image Interpolation Scheme Combined with Artificial Neural Network
Author
Liang, Fengmei ; Xie, Keming
Author_Institution
Taiyuan Univ. of Technol., Taiyuan
Volume
3
fYear
2007
Firstpage
99
Lastpage
102
Abstract
Due to some inner and outer reasons of image system, images obtained by some sensors will be degraded unavoidably. The main purpose of this paper is to present an efficient image interpolation scheme to improve the resolution and quality of images. The scheme is realized by combining Bezier surface interpolation with an artificial neural network (ANN). Theoretically, the hybrid rapid algorithm has more advantages than other interpolation algorithm. Moreover, the algorithm has been demonstrated to improve efficiently the image resolution with example applications and their results.
Keywords
image resolution; interpolation; neural nets; Bezier surface interpolation; artificial neural network; hybrid rapid algorithm; image interpolation; image quality; image resolution; image system; Artificial neural networks; Degradation; Educational institutions; Image resolution; Image restoration; Image sensors; Interpolation; Neural networks; Pixel; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2875-5
Type
conf
DOI
10.1109/ICNC.2007.201
Filename
4344485
Link To Document