Weighted DCT-IF for Image up Scaling
The design of an efficient scaler to enhance the edge data is one of the most important issues in video signal applications, because the perceptual quality of the processed image is sensitively affected by the degradation of edge data. Various conventional scaling schemes have been proposed to enhan...
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Veröffentlicht in: | KSII transactions on Internet and information systems 2019-02, Vol.13 (2), p.790-809 |
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creator | Lee, Jae-Yung Yoon, Sung-Jun Kim, Jae-Gon Han, Jong-Ki |
description | The design of an efficient scaler to enhance the edge data is one of the most important issues in video signal applications, because the perceptual quality of the processed image is sensitively affected by the degradation of edge data. Various conventional scaling schemes have been proposed to enhance the edge data. In this paper, we propose an efficient scaling algorithm for this purpose. The proposed method is based on the discrete cosine transform-based interpolation filter (DCT-IF) because it outperforms other scaling algorithms in various configurations. The proposed DCT-IF incorporates weighting parameters that are optimized for training data. Simulation results show that the quality of the resized image produced by the proposed DCT-IF is much higher than that of those produced by the conventional schemes, although the proposed DCT-IF is more complex than other conventional scaling algorithms. |
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Various conventional scaling schemes have been proposed to enhance the edge data. In this paper, we propose an efficient scaling algorithm for this purpose. The proposed method is based on the discrete cosine transform-based interpolation filter (DCT-IF) because it outperforms other scaling algorithms in various configurations. The proposed DCT-IF incorporates weighting parameters that are optimized for training data. Simulation results show that the quality of the resized image produced by the proposed DCT-IF is much higher than that of those produced by the conventional schemes, although the proposed DCT-IF is more complex than other conventional scaling algorithms.</description><identifier>ISSN: 1976-7277</identifier><identifier>EISSN: 1976-7277</identifier><language>kor</language><publisher>한국인터넷정보학회</publisher><subject>DCT-IF ; Edge enhancement ; Up/down scaler</subject><ispartof>KSII transactions on Internet and information systems, 2019-02, Vol.13 (2), p.790-809</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885</link.rule.ids></links><search><creatorcontrib>Lee, Jae-Yung</creatorcontrib><creatorcontrib>Yoon, Sung-Jun</creatorcontrib><creatorcontrib>Kim, Jae-Gon</creatorcontrib><creatorcontrib>Han, Jong-Ki</creatorcontrib><title>Weighted DCT-IF for Image up Scaling</title><title>KSII transactions on Internet and information systems</title><addtitle>KSII Transactions on Internet and Information Systems (TIIS)</addtitle><description>The design of an efficient scaler to enhance the edge data is one of the most important issues in video signal applications, because the perceptual quality of the processed image is sensitively affected by the degradation of edge data. Various conventional scaling schemes have been proposed to enhance the edge data. In this paper, we propose an efficient scaling algorithm for this purpose. The proposed method is based on the discrete cosine transform-based interpolation filter (DCT-IF) because it outperforms other scaling algorithms in various configurations. The proposed DCT-IF incorporates weighting parameters that are optimized for training data. 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Various conventional scaling schemes have been proposed to enhance the edge data. In this paper, we propose an efficient scaling algorithm for this purpose. The proposed method is based on the discrete cosine transform-based interpolation filter (DCT-IF) because it outperforms other scaling algorithms in various configurations. The proposed DCT-IF incorporates weighting parameters that are optimized for training data. Simulation results show that the quality of the resized image produced by the proposed DCT-IF is much higher than that of those produced by the conventional schemes, although the proposed DCT-IF is more complex than other conventional scaling algorithms.</abstract><pub>한국인터넷정보학회</pub><tpages>20</tpages><oa>free_for_read</oa></addata></record> |
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subjects | DCT-IF Edge enhancement Up/down scaler |
title | Weighted DCT-IF for Image up Scaling |
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