Filtering vs. nonlinear estimation procedures for image enhancement

Image enhancement methods can be divided into two groups: the ones that use only one single image and the ones that rely on specific training set or use multiple images. In this paper an iterative algorithm, based on the quasi-Newton methods, is introduced with the objective to enhance resolution only by one single image. In the paper there will be compared results gained depending on the used method: nonlinear iterative algorithm vs. filtering algorithm with EMD. Empirical Mode Decomposition can be treated as filtering procedure for image enhancement. Key-Words: Image enhancement, Broyden algorithm, Iterative algorithms, Empirical Mode Decomposition.