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On-line Access: 2024-08-27

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Journal of Zhejiang University SCIENCE C 2011 Vol.12 No.9 P.743-753

http://doi.org/10.1631/jzus.C1100040


Efficient implementation of a cubic-convolution based image scaling engine


Author(s):  Xiang Wang, Yong Ding, Ming-yu Liu, Xiao-lang Yan

Affiliation(s):  Institute of VLSI Design, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   wangxiang@vlsi.zju.edu.cn, dingy@vlsi.zju.edu.cn

Key Words:  Cubic-convolution, Hardware implementation, Interpolation, Engine


Xiang Wang, Yong Ding, Ming-yu Liu, Xiao-lang Yan. Efficient implementation of a cubic-convolution based image scaling engine[J]. Journal of Zhejiang University Science C, 2011, 12(9): 743-753.

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author="Xiang Wang, Yong Ding, Ming-yu Liu, Xiao-lang Yan",
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doi="10.1631/jzus.C1100040"
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%A Xiao-lang Yan
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%DOI 10.1631/jzus.C1100040

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T1 - Efficient implementation of a cubic-convolution based image scaling engine
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A1 - Ming-yu Liu
A1 - Xiao-lang Yan
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EP - 753
%@ 1869-1951
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1100040


Abstract: 
In video applications, real-time image scaling techniques are often required. In this paper, an efficient implementation of a scaling engine based on 4×4 cubic convolution is proposed. The cubic convolution has a better performance than other traditional interpolation kernels and can also be realized on hardware. The engine is designed to perform arbitrary scaling ratios with an image resolution smaller than 2560×1920 pixels and can scale up or down, in horizontal or vertical direction. It is composed of four functional units and five line buffers, which makes it more competitive than conventional architectures. A strict fixed-point strategy is applied to minimize the quantization errors of hardware realization. Experimental results show that the engine provides a better image quality and a comparatively lower hardware cost than reference implementations.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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