in this paper, inverse laplace transform method is applied to analytical solution of the fractional sturm-liouville problems. the method introduces a powerful tool for solving the eigenvalues of the fractional sturm-liouville problems. the results  how that the simplicity and efficiency of this method.

Abstract: In this paper we have designed an inverse filter based on Wiener filter to remove haze fromimage. We have used Steering Kernel Regression and also Wavelet Transform to enhance the restored image. Our proposed algorithm has been applied on Wild database. Results showed that improving inverse filter by Wavelet Transform has better quality.