Chapter 1: Invited Addresses and Tutorials on Signals, Coding,
  Systems and Intelligent Techniques

Title: Blur Identification In Noisy Images Using Radon Transform And Power Spectrum Modeling

Author(s): Mohsen Ebrahimi Moghaddam, Mansour Jamzad

Address: Department of Computer Engineering, Sharif University of Technology, Tehran , Iran | Department of Computer Engineering, Sharif University of Technology, Tehran , Iran

Reference: 12th International Workshop on Systems, Signals and Image Processing pp. 349 - 354

Abstract/Summary: Motion blur is one of the most common blurs that degrades images. Restoration of such images are highly dependent to estimation of motion blur parameters. Many researchers since 1976 have developed algorithms to estimate linear motion blur parameters. These algorithms are different in their performance, time complexity, precision and their robustness in noisy environments. In this paper we have presented a novel algorithm to estimate linear motion blur parameters such as direction and extend by using Radon transform to find direction and power spectrum modeling to find its extend. The most benefit of this algorithm is its robustness and precision in noisy images. This algorithm is a combination of spatial and frequency domain analysis and computer graphics method. Our method was tested on a wide range of different type of standard images that were degraded with different direction and motion lengths. Experimental results were highly satisfactory.

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