Abstract—This paper proposed a method for reconstruct
image by using Bézier Curve function. One of the causes of
errors in image reconstruction is lack of sampling. In order to
solve that problem, this paper proposes a method by using
Bézier Curve to interpolate data between sampling points to
reduce the error. The proposed method is compared to the
previous works; compressive sampling and discrete Fourier
transform (DFT). Compressive sampling is a method which has
small number of data sample and DFT is used to perform
Fourier analysis in many practical applications in digital signal
processing. The result shows that image reconstruction using
Bézier curve has closer quality to the original image compared
to compressive sampling and DFT while it can maintain small
size of reconstructed images.
Index Terms—Bézier curve, compressive sampling, DFT,
Image reconstruction.
The authors are with the School of Electronic Engineering, Kumoh
National Institute of Technology, South Korea (e-mail:
syamsul@kumoh.ac.kr, dskim@kumoh.ac.kr).
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Cite:Syamsul Rizal and Dong-Seong Kim, "Image Transmission in Military Network Using Bézier Curve," Journal of Advances in Computer Networks vol. 3, no. 2, pp. 141-145, 2015.
