Amirkabir University of Technology AUT Journal of Electrical Engineering 2588-2910 42 1 2010 04 01 Adaptive Optimum Notch Filter for Periodic Noise Reduction in Digital Images Adaptive Optimum Notch Filter for Periodic Noise Reduction in Digital Images 1 7 94 10.22060/eej.2010.94 EN Payman Moallemi Corresponding Author, P. Moallem is with the Department of Electrical Engineering, University of Isfahan, Isfahan, Iran (e-mail: p_moalem@ui.ac.ir). Majid Behnampourii M. Behnampour is with Iran Aircraft Manufacturing (HESA), Shain Shar, Isfahan, Iran (e-mail: majidbehnam20@gmail.com). Journal Article 2014 03 15 Periodic noises are unwished and spurious signals that create repetitive pattern on images and decreased the visual quality. Firstly, this paper investigates various methods for reducing the effects of the periodic noise in digital images. Then an adaptive optimum notch filter is proposed. In the proposed method, the regions of noise frequencies are determined by analyzing the spectral of noisy image. Then, the repetitive pattern of the periodic noise is produced by applying the corresponding notch pass filter. Finally, an output image with reduced periodic noise is restored by an optimum notch filter method. The results of the proposed adaptive optimum notch filter are compared by the mean and the median filtering techniques in frequency domain. The results show that the proposed filter has higher performances, visually and statistically, and has lower computational cost. In spite of the other compared methods, the proposed filter does not need to tune any parameters. https://eej.aut.ac.ir/article_94_f4b9ec30ad9f68f89b29639786cb62ef.pdf