DocumentCode :
2335925
Title :
Improvement of the space resolution of the optical remote sensing image by the principle of CCD imaging
Author :
Liu, Qing ; Wang, Sunan ; Zhang, XiaoHui ; Hou, Yun
Author_Institution :
Sch. of Mech. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
fYear :
2010
fDate :
7-10 July 2010
Firstpage :
477
Lastpage :
481
Abstract :
Based on the feature of CCD image forming, the internal principle of image forming is analyzed, and the loss of charge transfer is calculated by the Shockley - Read - Hall equation, in which the distribution function between the charge transfer is reconstructed. Rational polynomial interpolation algorithm is used to determine the unknown pixel points for the adjacent pixels that do not overcome the loss of charge transfer to enhance the image. It is an self-adaptive interpolation algorithm, in which the interpolation function can be adjusted automatically with electrical potential difference of the adjoining pixels and its energy zone, by means of which, the image can be magnified self-adaptively. Remote sensing image is tested, and the example results show that not only the image quality is improved, but also the clear margin and contour information is kept with this algorithm. And thus the processed images are more conducive to the naked eye.
Keywords :
CCD image sensors; charge-coupled devices; feature extraction; geophysical image processing; image enhancement; image resolution; interpolation; polynomials; remote sensing; self-adjusting systems; CCD imaging; Shockley-Read-Hall equation; charge transfer; contour information; distribution function; electrical potential difference; image enhancement; image quality; optical remote sensing image; pixel point; rational polynomial interpolation algorithm; self adaptive interpolation algorithm; space resolution; Charge coupled devices; Charge transfer; Electric potential; Interpolation; Pixel; Polynomials; Remote sensing; CCD image forming; Charge transfer; Image enhancement; Marginal vagueness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing Theory Tools and Applications (IPTA), 2010 2nd International Conference on
Conference_Location :
Paris
ISSN :
2154-5111
Print_ISBN :
978-1-4244-7247-5
Type :
conf
DOI :
10.1109/IPTA.2010.5586774
Filename :
5586774
Link To Document :
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