Spatial Interpolation of Image Sequences Using Truncated Projections onto Convex Sets (Special Section of Papers Selected from ITC-CSCC '98)

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概要

• 論文の詳細を見る

• This paper presents a new method for image interpolation based on truncated projections onto convex sets(POCS). By using the convergence property to properly defined convex sets, the proposed algorithm can restore high frequency details in the original high resolution image. In order to apply the POCS method to the interpolation procedure, we first present a two-dimensional separable image degradation model for a low resolution imaging system. According to the model, we propose a truncated POCS-based spatial interpolation algorithm for image sequences. Experimental results with synthetic and real image sequence show that the proposed algorithm gives indiscernible interpolation performance compared with the conventional POCS-base algorithm, while it significantly reduces computational complexity and is suitable for processing image sequences.

• 社団法人電子情報通信学会の論文
• 1999-06-25

著者

• Shin Jeong

  Digital Image Processing Lab. Department Of Electronic Engineering Chung-ang University

• JUNG Jung

  Digital Image Processing Lab., Department of Electronic Engineering, Chung-Ang University

• PAIK Joon

  Digital Image Processing Lab., Department of Electronic Engineering, Chung-Ang University

• Paik J

  Digital Image Processing Lab. Department Of Electronic Engineering Chung-ang University

関連論文

• Spatial Interpolation of Image Sequences Using Truncated Projections onto Convex Sets (Special Section of Papers Selected from ITC-CSCC '98)

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