Image Interpolation Based on Weighted and Blended Rational Function

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• 作者：Yifang Liu (15) (16)
  Yunfeng Zhang (15) (16)
  Qiang Guo (15) (16)
  Caiming Zhang (15) (16)
  
  15. School of Computer Science and Technology ; Shandong University of Finance and Economics ; Jinan ; 250014 ; China
  16. Shandong Provincial Key Laboratory of Digital Media Technology ; Jinan ; 250014 ; China
  
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9009
• 期：1
• 页码：78-88
• 全文大小：2,948 KB
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• 作者单位：Computer Vision - ACCV 2014 Workshops
• 丛书名：978-3-319-16630-8
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Conventional linear interpolation methods produce interpolated images with blurred edges, while edge directed interpolation methods make enlarged images with good quality edges but with details distortion for some cases. An adaptive rational-based algorithm for the interpolation of digital images with arbitrary scaling factors is proposed. In order to remove artifacts, we construct a new interpolation model with weight and blend, which are used for preserving the clear edge and detail. The proposed model is blended by basic rational interpolation model and three rotated rational models. The weight coefficients are determined by the edge information from different scale based on point sampling. Experimental results show that the proposed method produces images with high objective quality assessment value and good visual quality.