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Yang, Seungjoon
Signal Processing Lab (SPL)
Research Interests
  • Statistical signal processing, multi-rate systems, image/video processing, computer vision

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Image interpolation using interpolative classified vector quantization

Cited 12 times inthomson ciCited 14 times inthomson ci
Title
Image interpolation using interpolative classified vector quantization
Author
Hong, Sung-HoPark, Rae-HongYang, SeungjoonKim, Jun-Yong
Keywords
Interpolation; Interpolative classified vector quantization; Vector quantization
Issue Date
2008-02
Publisher
ELSEVIER SCIENCE BV
Citation
IMAGE AND VISION COMPUTING, v.26, no.2, pp.228 - 239
Abstract
According to advances in digital imaging technology, interest in high-resolution (HR) images has been increased. Various methods that convert low-resolution (LR) images to HR ones have been presented. In this paper, to reduce the computational load we propose a vector quantization (VQ) based algorithm that reconstructs an interpolation image by adding to an initially interpolated image high-frequency components predicted from training with a number of example image sets. The proposed interpolative classified VQ (ICVQ) algorithm combines interpolative VQ with classified VQ. With a number of (LR and HR) example image sets, we construct two types of (LR and HR) codebooks. Comparative experiments with three conventional image interpolation algorithms show that the proposed interpolation algorithms using ICVQ effectively preserve edges to which the human visual system is sensitive. The proposed algorithm can be applicable to various image- and video-based applications such as digital camera and digital television.
URI
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DOI
10.1016/j.imavis.2007.05.002
ISSN
0262-8856
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EE_Journal Papers
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