Nonlinear image restoration

Ungan, Cahit Uğur
This thesis analyzes the process of deblurring of degraded images generated by space-variant nonlinear image systems with Gaussian observation noise. The restoration of blurred images is performed by using two methods; a modified version of the Optimum Decoding Based Smoothing Algorithm and the Bootstrap Filter Algorithm which is a version of Particle Filtering methods. A computer software called MATLAB is used for performing the simulations of image estimation. The results of some simulations for various observation and image models are presented.
Citation Formats
C. U. Ungan, “Nonlinear image restoration,” M.S. - Master of Science, Middle East Technical University, 2005.