kumoh national institute of technology
Networked Systems Lab.

Syamsul Rizal, Dong-Seong Kim, "Bezier Curve Data Reconstruction over Compressive Sampling in Image Transmission", WIITC2014, pp. 54-57, Danang University of Science and Tech., Vietnam, 11-12 Feb. 2014. (N1&N2)
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Date : 2015-07-17
Views : 326

Abstract:
This paper proposed a method for image reconstruction using Bezier Curve function. This method compared with the previous works, compressive sampling and discrete Fourier transform (DFT). Compressive sampling is a method which has small number of data sample and DFT used to perform Fourier analysis in many practical applications in digital signal processing. One of the causes of errors in image reconstruction is lack of sampling. In order to solve that problem, this paper proposed a method by using Bezier Curve to interpolate data between sampling points to reduce the error. The result shows that image reconstruction using Bezier curve has close to the original image compared to compressive sampling and DFT.

Available online: https://www.scribd.com/document/221123210/Bezier-Curve-for-Image-Reconstruction