Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17340
Title: An integrated method for satelite image interpolitan
Authors: Shi, W 
Tian, Y
Liu, K
Issue Date: 2007
Publisher: Taylor & Francis
Source: International journal of remote sensing, 2007, v. 28, no. 6, p. 1355-1371 How to cite?
Journal: International journal of remote sensing 
Abstract: Many image interpolation methods have been developed to enhance the visibility of either remotely sensed or other images, such as the bilinear method and bi-cubic method As a further development of the existing approaches, an integrated interpolation method is proposed in this study, which is an integration of the bilinear and the bi-cubic interpolation methods. First, the implemented procedure of the integrated interpolation method is described. This covers (a) a low-resolution image that is interpolated by using the bilinear and the bi-cubic interpolators respectively; (b) the hybrid parameters ρ and 1-ρ endowed on the bilinear and the bi-cubic interpolation results, respectively; (c) the interpolated image that is computed according to the weighted sum of both bilinear and bi-cubic interpolation results. Second, a further discussion is given on the method and the relation between hybrid parameter and details of an image (entropy) provided from the theoretical point of view. The result demonstrates that the hybrid parameter directly affects the details of an interpolated image. Third, the effectiveness of this integrated method is verified, based on experimental studies. Here, a method for the construction of images with different entropies is developed for construct simulated images. The integrated method possesses advantages of both the bilinear method for modelling low-frequency components and the bi-cubic method of high-frequency components simultaneously. The experimental study demonstrated the effectiveness of the proposed integrated model.
URI: http://hdl.handle.net/10397/17340
ISSN: 0143-1161
EISSN: 1366-5901
DOI: 10.1080/01431160600851876
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