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Super-resolution of Aerial Image

Author: ZhangShengBing
Tutor: JiangWanShou
School: Wuhan University
Course: Cartography and Geographic Information Systems
Keywords: Aerial Images Interpolation Wavelet Analysis The A Trous wavelet
CLC: P231
Type: Master's thesis
Year: 2005
Downloads: 144
Quote: 2
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Abstract


This article is based on the characteristics of the aerial images , based on the interpolation process and the advantages of the wavelet transform theory , proposed a combination based on bi-cubic interpolation and wavelet transform image super-resolution display algorithm . The main goal of the algorithm under the premise of improving image quality , to improve the computational efficiency of image zoom display . Interpolation processing has enlarged algorithm is simple , easy to implement , and has the effect of image enhancement image processing and wavelet theory . In view of this, the first of several interpolation algorithm test comparison from which to select a more suitable interpolation algorithm aviation image processing and the A Trous wavelet transform phase . The reason to Select A Trous wavelet transform based the Mallat wavelet image fusion algorithm , to result in a certain phase distortion due to the presence of decimation and interpolation operation . A Trous wavelet algorithm plug approximated by a finite filter , no removable discrete wavelet transform image data , a better solution to the above problems . In order to achieve an image displayed enlarged. Compared with the conventional interpolation methods , this method is both enlarged image, while maintaining the original image of minutiae . This algorithm processing images , the enlarged image processing with existing interpolation comparison , the effect was significantly higher than the existing interpolation algorithm , and also better than using a combination of orthogonal wavelet and biorthogonal wavelet algorithm , this article the algorithm has high computing efficiency , image Promise amplification process , and in the aviation image processing results , the image quality has been greatly improved , especially on the clarity of the image has been greatly improved .

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CLC: > Astronomy,Earth Sciences > Surveying and Mapping > Photogrammetry and Surveying, Mapping and Remote Sensing > Aerial Photogrammetry
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