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Proceedings Paper

An edge directed super resolution technique for multimedia applications
Author(s): Osborn de Lima; Sreenath Rao Vantaram; Sankaranarayanan Piramanayagam; Eli Saber; Kurt Robert Bengtson
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Paper Abstract

In this paper, we present an Edge Directed Super Resolution (EDSR) technique for grayscale and color images. The proposed algorithm is a multiple pass iterative algorithm aimed at producing better defined images with sharper edges. The basic premise behind this algorithm is interpolating along the edge direction and thus reducing blur that comes from traditional interpolation techniques which operate across the edge in some instances. To this effect, horizontal and vertical gradients derived from the input reference image resized to the target resolution, are utilized to generate an edge direction map, which in turn is quantized into four discrete directions. The process then utilizes the multiple input images shifted by a sub pixel amount to yield a single higher resolution image. A cross correlation based registration approach determines the relative shifts between the frames. In the case of color images, the edge directed super resolution algorithm is applied to the L channel in the L*a*b* color space, since most of the edge information is concentrated in that channel. The two color difference channels a* and b* are resized to a higher resolution using a conventional bicubic interpolation approach. The algorithm developed was applied to grayscale and color images and showed favorable results on a wide variety of datasets ranging from printing to surveillance, to regular consumer photography.

Paper Details

Date Published: 19 March 2013
PDF: 10 pages
Proc. SPIE 8663, Video Surveillance and Transportation Imaging Applications, 86630F (19 March 2013); doi: 10.1117/12.2005955
Show Author Affiliations
Osborn de Lima, Rochester Institute of Technology (United States)
Sreenath Rao Vantaram, Rochester Institute of Technology (United States)
Sankaranarayanan Piramanayagam, Rochester Institute of Technology (United States)
Eli Saber, Rochester Institute of Technology (United States)
Kurt Robert Bengtson, Hewlett-Packard Co. (United States)

Published in SPIE Proceedings Vol. 8663:
Video Surveillance and Transportation Imaging Applications
Robert Paul Loce; Eli Saber, Editor(s)

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