Title :
E-spline based image interpolators
Author :
M.F. Fahmy;G. Fahmy;O. M. Fahmy
Author_Institution :
Electrical Engineering Dept., Assiut University, Egypt
Abstract :
Exponential spline polynomials (E-splines) represent the best smooth transition between continuous and discrete domains. As they are constructed from convolution of exponential segments, there are many degrees of freedom to optimally choose the most convenient E-spline; suitable for a specific application. In this paper, the parameters of these E-splines are optimally chosen, to sharpen the performance of an interpolated high resolution systems HR derived from a given low resolution decimated one whether noisy or noiseless. The proposed technique is based on minimizing the aliasing effects due to the high frequency bands of the HR images. Illustrative examples are given to verify image enhancement of the proposed E-spline scheme, when compared with the existing approaches.
Keywords :
"Splines (mathematics)","Image resolution","Noise measurement","Frequency-domain analysis","Polynomials","Biomedical imaging","Laplace equations"
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2014 IEEE International Symposium on
DOI :
10.1109/ISSPIT.2014.7300564