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Image Super-Resolution using Single Image Semi Coupled Dictionary Learning
Hemant S. Goklani, Shravya S., Jignesh N. Sarvaiya
Pages - 135 - 144     |    Revised - 30-06-2016     |    Published - 31-07-2016
Volume - 10   Issue - 3    |    Publication Date - July 2016  Table of Contents
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KEYWORDS
Super-resolution, Single Image Super Resolution (SISR), Single Image Semi Coupled Dictionary (SI-SCDL).
ABSTRACT
Obtaining a high resolution image from a low resolution image plays an important role in many image processing applications. In Single Image Super Resolution (SISR), the desired high resolution output image is synthesized from a single low resolution input image. In this paper, Single Image Semi Coupled Dictionary Learning (SI-SCDL) method is proposed, where the dictionaries to represent the high and low resolution images are trained from the input image itself. In the proposed method, the online training stage is employed, where the dictionaries are learnt online and it does not require any external training database. Simulation results show that the proposed SI-SCDL method performs better when compared to other mentioned methods.
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Mr. Hemant S. Goklani
SVNIT - India
hsgoklani@gmail.com
Miss Shravya S.
SVNIT - India
Dr. Jignesh N. Sarvaiya
SVNIT - India