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Content Provider | IEEE Xplore Digital Library |
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Author | Czaja, W. Murphy, J.M. Weinberg, D. |
Copyright Year | 2015 |
Description | Author affiliation: Dept. of Math., Univ. of Maryland, College Park, MD, USA (Czaja, W.; Murphy, J.M.; Weinberg, D.) |
Abstract | We consider the problem of superresolution for remotely sensed images. Our ambition is to develop an algorithm that efficiently increases the resolution of an image without introducing artifacts or blurring, and without using any additional information, such as images of the same scene in different modalities or sub-pixel shifts of the same image at lower resolutions. The approach developed in this article is based on analysis of the directional features present in the image that is to be superesolved. The harmonic analytic technique of shearlets is employed in order to efficiently capture the directional information present in the image, which is then used to provide smooth, accurate images at higher resolutions. Our algorithm is compared to the standard superresolution method of bicubic interpolation. We test our algorithm on a remotely sensed image of Gulfport, Mississippi. Our results indicate the superior performance of shearlet-based superresolution algorithms, compared to bicubic interpolation. |
Starting Page | 317 |
Ending Page | 321 |
File Size | 362154 |
Page Count | 5 |
File Format | |
ISBN | 9781467373531 |
DOI | 10.1109/SAMPTA.2015.7148904 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-05-25 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Interpolation Image edge detection Image processing Superresolution Signal processing algorithms Anisotropic dictionaries Shearlets Spatial resolution Signal resolution Remote sensing |
Content Type | Text |
Resource Type | Article |
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