Nonlinear image restoration

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Date

2005

Author

Ungan, Cahit Uğur

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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.

Subject Keywords

Telecommunication.

URI

http://etd.lib.metu.edu.tr/upload/2/12606796/index.pdf
https://hdl.handle.net/11511/15625

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

C. U. Ungan, “Nonlinear image restoration,” M.S. - Master of Science, Middle East Technical University, 2005.