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Content Provider | IEEE Xplore Digital Library |
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Author | Dwarakanath, K.N.V.S.D. Sai Sameer, G. Khanna, S. Chandrasekaran, V. |
Copyright Year | 2015 |
Description | Author affiliation: Dept. of Math. & Comput. Sci., Sri Sathya Sai Inst. of Higher Learning, India (Dwarakanath, K.N.V.S.D.; Khanna, S.; Chandrasekaran, V.) || KLATencor, India (Sai Sameer, G.) |
Abstract | A novel hybrid method is proposed for aerial image super-resolution in which the output of the Adaptive Wiener Filter (AWF) based super resolution technique is further enhanced using Example-based Super-Resolution (EBSR). While AWF method gives a reasonable result measured in terms of perceptual quality, it has a disadvantage of blurring the image on account of the weighted averaging. Introduction of EBSR compensates for the loss of high frequency content and results in sharpening the edges. This paper demonstrates the effectiveness of the hybrid approach in improving the overall performance. |
Starting Page | 1649 |
Ending Page | 1654 |
File Size | 1586161 |
Page Count | 6 |
File Format | |
e-ISBN | 9781479980819 |
DOI | 10.1109/ICCSP.2015.7322798 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-04-02 |
Publisher Place | India |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Measurement Adaptation models Image resolution Databases Image edge detection Adaptive Wiener filter Example-based Super-resolution Image Super-resolution |
Content Type | Text |
Resource Type | Article |
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