A new blind inverse halftoning algorithm based on a nonlinear filtering technique of low computational complexity and low memory requirement is proposed in this research. It is called blind since we do not require the knowledge of the halftone kernel. The proposed scheme performs nonlinear filtering
Nonlinearized approach to profile inversion
β Scribed by R. E. Kleinman; P. M. Van Den Berg
- Book ID
- 102864980
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 620 KB
- Volume
- 2
- Category
- Article
- ISSN
- 0899-9457
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β¦ Synopsis
Abstract
A method for reconstructing the index of refraction of a bounded inhomogeneous object of known geometric configuration from measured farβfield scattering data is presented. This work is an extension of recent results on the direct scattering problem wherein the governing domain integral equation was solved iteratively by a successive relaxation technique. The relaxation parameters were chosen to minimize the residual error at each step. Convergence of this process was established for indices of refraction much larger than required for convergence of the Born approximation. For the inverse problem, the same technique is applied, except is this case both the index of refraction and the field are unknown. Iterative solutions for both unknowns are postulated with two relaxation parameters at each step. They are determined by simultaneously minimizing the residual errors in satisfying the domain integral equation and matching the measured data. This procedure retains the nonlinear relation between the two unknowns. Numerical results are presented for the dielectric slab. The algorithm is shown to be effective in cases where the iterative solution of the direct problem is rapidly convergent and outperforms the Bornβbased approaches.
π SIMILAR VOLUMES
## Abstract In this article, we present a new hybrid method to reconstruct oneβdimensional lossy profile in order to get effective and stable solutions that can be used for both acoustic and electromagnetic cases. Unlike classical integral equation methods for the solution of the inverse medium pro