NDLI: Feature preserving super-resolution use of LBP and DWT

Content Provider	IEEE Xplore Digital Library
Author	Pithadia, P.V. Gajjar, P.P. Dave, J.V.
Copyright Year	2012
Description	Author affiliation: EC Dept., L.D. Coll. of Eng., Ahmedabad, India (Pithadia, P.V.; Dave, J.V.) \|\| EC Dept., Gov. Polytech., Ahmedabad, India (Gajjar, P.P.)
Abstract	In this paper, we propose a novel technique for feature preserving image super-resolution. Given a test image and a training database consisting of low resolution images and their high resolution versions, we obtain the super-resolution by learning the details from the high resolution training images. The image features such as edges, corners, and curves carry crucial information in many imaging applications. We exploit the fact that the local geometry of these features in the low resolution image is similar to that of their high resolution counterparts. We model these features using local binary patterns that best capture underlying geometric information and obtain super-resolution of the image by learning discrete wavelet coefficients of the high resolution features present in the training images. The experiments are conducted on real world images and results are compared with recently proposed super-resolution approaches. Experiments show that the proposed approach perform better in both qualitative and quantitative evaluation. The approach is promising for real time application as it is non-iterative.
Sponsorship	IEEE India Council ED Chapter
Starting Page	456
Ending Page	461
File Size	227527
Page Count	6
File Format	PDF
ISBN	9781457715457
e-ISBN	9781457715464
DOI	10.1109/ICDCSyst.2012.6188798
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Image resolution Databases Random access memory Robustness Approximation methods Signal resolution
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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