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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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Resolution enhancement by prediction of the high-frequency image based on the Laplacian pyramid

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Title
Resolution enhancement by prediction of the high-frequency image based on the Laplacian pyramid
Author
Jeon, Bo-WonPark, Rae-HongYang, Seungjoon
Keywords
SUPERRESOLUTION
Issue Date
2006
Publisher
Hindawi Publishing Corporation
Citation
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, v.2006, no., pp.1 - 11
Abstract
According to recent advances in digital image processing techniques, interest in high-quality images has been increased. This paper presents a resolution enhancement ( RE) algorithm based on the pyramid structure, in which Laplacian histogram matching is utilized for high-frequency image prediction. The conventional RE algorithms yield blurring near-edge boundaries, degrading image details. In order to overcome this drawback, we estimate an HF image that is needed for RE by utilizing the characteristics of the Laplacian images, in which the normalized histogram of the Laplacian image is fitted to the Laplacian probability density function (pdf), and the parameter of the Laplacian pdf is estimated based on the Laplacian image pyramid. Also, we employ a control function to remove overshoot artifacts in reconstructed images. Experiments with several test images show the effectiveness of the proposed algorithm.
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DOI
10.1155/ASP/2006/72520
ISSN
1110-8657
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EE_Journal Papers
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