Design of an Image Interpolator for Low Computation Complexity


Young-Hyun Jun, Jong-Ho Yun, Jin-Sung Park, Myung-Ryul Choi, Journal of Information Processing Systems Vol. 2, No. 3, pp. 153-158, Jun. 2006


Keywords: interpolation, Interpolator, Cubic convolution , Linear function
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Abstract

In this paper, we propose an image interpolator for low computational complexity. The proposed image interpolator supports the image scaling using a modified cubic convolution interpolation between the input and output resolutions for a full screen display. In order to reduce the computational complexity, we use the difference in value of the adjacent pixels for selecting interpolation methods and linear function of the cubic convolution. The proposed image interpolator is compared with the conventional one for the computational complexity and image quality. The proposed image interpolator has been designed and verified by Verilog HDL(Hardware Description Language). It has been synthesized using the Xilinx VirtexE FPGA, and implemented using an FPGA-based prototype board.


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Cite this article
[APA Style]
Young-Hyun Jun, Jong-Ho Yun, Jin-Sung Park, & Myung-Ryul Choi (2006). Design of an Image Interpolator for Low Computation Complexity. Journal of Information Processing Systems, 2(3), 153-158. DOI: .

[IEEE Style]
Y. Jun, J. Yun, J. Park and M. Choi, "Design of an Image Interpolator for Low Computation Complexity," Journal of Information Processing Systems, vol. 2, no. 3, pp. 153-158, 2006. DOI: .

[ACM Style]
Young-Hyun Jun, Jong-Ho Yun, Jin-Sung Park, and Myung-Ryul Choi. 2006. Design of an Image Interpolator for Low Computation Complexity. Journal of Information Processing Systems, 2, 3, (2006), 153-158. DOI: .