NDLI: Single image super-resolution by modifying sampling positions

Content Provider	IEEE Xplore Digital Library
Author	Jaehwan Jeon Changhun Cho Joonki Paik
Copyright Year	2014
Description	Author affiliation: Grad. Sch. of Adv. Imaging Sci., Chung-Ang Univ., Seoul, South Korea (Jaehwan Jeon; Changhun Cho; Joonki Paik)
Abstract	In this paper, a novel single image super-resolution (SR) method is presented using variable sampling positions. The proposed method estimates a sampling position correction vector (SPCV) from the regularly sampled data based on the local gradient of the image. In pursuit of both preserving edge and removing unnatural artifacts in the SR process, non-uniformly sampled data obtained by the SPCV is upscaled using the steering kernel regression algorithm. The proposed SR algorithm restores clear, sharp profile of edge without the reversed gradient or halo effects by modifying the sampling position as well as directionally adaptive interpolation using kernel regression. Because of the unified structure of variable sampling positions and directionally adaptive kernel regression, the propose method does not need to solve any partial difference equations (PDEs) or to use an iterative process, and can easily be adapted to various pre- and post-processing methods for further enhancement.
Sponsorship	IEEE Consumer Electron. Soc.
Starting Page	258
Ending Page	259
File Size	957257
Page Count	2
File Format	PDF
ISSN	21583994
e-ISBN	9781479912919
DOI	10.1109/ICCE.2014.6775994
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Image edge detection Image reconstruction Image resolution PSNR Vectors Interpolation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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