Title :
An Image Interpolation Scheme Combined with Artificial Neural Network
Author :
Liang, Fengmei ; Xie, Keming
Author_Institution :
Taiyuan Univ. of Technol., Taiyuan
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;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.201
