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.
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