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Optical Engineering

Modified cubic convolution scaler for edge-directed nonuniform data
Author(s): Sang-Min Kwak; Joo-Hee Moon; Jong-Ki Han
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Paper Abstract

We derive a modified version of the cubic convolution scaler to enlarge or reduce the size of digital images with arbitrary ratio. To enhance the edge information of the scaled image and to obtain a high-quality scaled image, the proposed scaler is applied along the direction of an edge. Since interpolation along the direction of an edge has to process nonuniformly sampled data, the kernel of the cubic convolution scalar is modified to interpolate the data. The proposed scaling scheme can be used to resize pictures in various formats in a transcoding system that transforms a bit stream compressed at one bit rate into one compressed at another bit rate. In many applications, such as transcoders, the resolution conversion is very important for changing the image size while maintaining high quality of the scaled image. We show experimental results that demonstrate the effectiveness of the proposed interpolation method. The proposed scheme provides clearer edges, without artifacts, in the resized image than do conventional schemes. The algorithm exhibits significant improvement in the minimization of information loss when compared with the conventional interpolation algorithms.

Paper Details

Date Published: 1 October 2007
PDF: 11 pages
Opt. Eng. 46(10) 107001 doi: 10.1117/1.2789639
Published in: Optical Engineering Volume 46, Issue 10
Show Author Affiliations
Sang-Min Kwak, Sejong Univ. (South Korea)
Joo-Hee Moon, Sejong Univ. (South Korea)
Jong-Ki Han, Sejong Univ. (South Korea)

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