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


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

DC Field Value Language Jeon, Bo-Won ko Park, Rae-Hong ko Yang, Seungjoon ko 2014-10-29T00:20:55Z - 2014-10-28 ko 2006 ko
dc.identifier.citation EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, v.2006, no., pp.1 - 11 ko
dc.identifier.issn 1110-8657 ko
dc.identifier.uri -
dc.identifier.uri ko
dc.description.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. ko
dc.description.statementofresponsibility close -
dc.language ENG ko
dc.publisher Hindawi Publishing Corporation ko
dc.title Resolution enhancement by prediction of the high-frequency image based on the Laplacian pyramid ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-33645142802 ko
dc.identifier.wosid 000242067000001 ko
dc.type.rims ART ko
dc.description.wostc 2 *
dc.description.scopustc 6 * 2015-05-06 * 2014-10-28 *
dc.identifier.doi 10.1155/ASP/2006/72520 ko
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