DocumentCode :
3265531
Title :
Study of image magnification based on Newton interpolation
Author :
Tao, Jiang ; Wenhu, Lu ; Shouyin, Dong ; Mingqin, Han
Author_Institution :
Remote Sensing Dept., Shandong Univ. of Sci. & Technol., Qingdao, China
Volume :
3
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
1248
Lastpage :
1252
Abstract :
The common methods of image magnification mainly included nearest neighbor, bilinear interpolation. However, it would appear obvious sawtooth shape in the high-frequency part of the magnified image by nearest neighbor method, and become fuzzy by bilinear interpolation method, all of above could affect the image quality. Compared with the above two methods, this paper found a new method using Newton interpolation for image magnification, and used the Matlab to implement this algorithm. The experiments showed that this algorithm could save more high frequency information of the image based on the characteristics of pixel and reduce the fuzzy degrees of the image. Meanwhile, this paper gave an objective evaluation in the image´s entropy of information and average gradient that this method better than conventional magnification method, so it could be widely used in the field of engineering practice.
Keywords :
Newton method; entropy; gradient methods; image processing; interpolation; Matlab; Newton interpolation; average gradient; image entropy; image magnification; objective evaluation; Entropy; Information entropy; Interpolation; Joints; Mutual information; Nearest neighbor searches; Pixel; Bilinear interpolation; Nearest neighbor interpolatio; Newton interpolation; image magnification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5647272
Filename :
5647272
Link To Document :
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