An Efficient Algorithm for Decomposition and Reconstruction of Images by Box Splines
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概要
- 論文の詳細を見る
This paper proposes a novel fast algorithm for the decomposition and reconstruction of two-dimensional (2-D) signals by box splines. The authors have already proposed an algorithm to calculate the discrete box splines which enables the fast reconstruction of 2-D signals (images) from box spline coefficients. The problem still remains in the decomposition process to derive the box spline coefficients from an input image. This paper first investigates the decomposition algorithm which consists of the truncated geometric series of the inverse filter and the steepest descent method with momentum (SDM). The reconstruction process is also developed to correspond to the enlargement of images. The proposed algorithm is tested for the expansion of several natural images. As a result, the peak signal-to-noise ratio (PSNR) of the reconstcted images became more than 50 dB, which can be considered as enough high level. Moreover, the property of box splines are discussed in comparison with 2-D (the tensor product of) B-splines.
- 社団法人電子情報通信学会の論文
- 2001-08-01
著者
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Ichige K
Department Of Electrical & Computer Engineering Yokohama National University
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ASAHI Takeshi
The authors are with the Division of Electrical and Computer Engineering, Yokohama National Universi
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ICHIGE Koichi
The authors are with the Division of Electrical and Computer Engineering, Yokohama National Universi
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ISHII Rokuya
The authors are with the Division of Electrical and Computer Engineering, Yokohama National Universi
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Ishii R
Division Of Electrical And Computer Engineering Yokohama National University
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Asahi Takeshi
Division Of Electrical And Computer Engineering Yokohama National University
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