DocumentCode :
3118089
Title :
Superresolution algorithm for satellite still images
Author :
Al-Shabili, Abdullah ; Taha, Bilal ; Al-Ahmad, Hussain
Author_Institution :
Dept. of Electr. & Comput. Eng., Khalifa Univ., United Arab Emirates
fYear :
2015
fDate :
17-19 May 2015
Firstpage :
48
Lastpage :
51
Abstract :
This paper presents a new algorithm for improving the resolution of satellite images. The improvement aims at obtaining a high resolution image from a single low resolution image. The new algorithm utilizes interpolation and two dimensional filter specifically designed for a particular image by means of maximizing the peak signal to noise ratio (PSNR). The performance of the algorithm is evaluated by using the PSNR. During the assessment process the processed images are compared with a ground truth images. In practice; ground truth images do not exist, however, they are used for comparison purposes. The new algorithm provides better performance compared to the use of cross shaped 2D filters.
Keywords :
filtering theory; geophysical image processing; image resolution; interpolation; PSNR; assessment process; ground truth image; high resolution image; interpolation; low resolution image; peak signal to noise ratio; satellite still images; superresolution algorithm; two dimensional filter; Filtering algorithms; Interpolation; Satellites; Signal processing algorithms; Signal resolution; Spatial resolution; Interpolation; Satellite Images; Sharpening Filter; Super-Resolution Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technology Research (ICTRC), 2015 International Conference on
Conference_Location :
Abu Dhabi
Type :
conf
DOI :
10.1109/ICTRC.2015.7156418
Filename :
7156418
Link To Document :
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