Fuzzy Notch Filter for Periodic Noise Reduction in Digital Images

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Alibabaie Najmeh; LATIF ALIMOHAMMAD

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Journal Paper

Paper Information

Journal: MACHINE VISION AND IMAGE PROCESSING Year:2019 | Volume:6 | Issue:1 Page(s): 79-92

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Information Journal Paper

Title

Fuzzy Notch Filter for Periodic Noise Reduction in Digital Images

Author(s)

Alibabaie Najmeh | LATIF ALIMOHAMMAD | Issue Writer Certificate

Keywords

Noise Removal

Periodic Noise

Fuzzy System

Abstract

Periodic Noise damages the visual quality of images by imposingrepetitive patterns to them. In this research work, we introduce anew method which is based on Fuzzy Systems for de-noising Periodic Noise. The position of a frequency coefficient in the origin shifted Fouriertransformed image and the current coefficient's amplitude to a localmedian ratio are used as inputs of the Fuzzy System. The output of the Fuzzy System will be a restorationmask. Weimplemented the proposed method and evaluated its performance againstsome images corrupted with Periodic Noise. The experimental results showan acceptable level of performance. Overall, this research implies thatthe procedure conducted by experts in the notch filter can be automatedby using a Fuzzy System.

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APA: Copy

Alibabaie, Najmeh, & LATIF, ALIMOHAMMAD. (2019). Fuzzy Notch Filter for Periodic Noise Reduction in Digital Images. MACHINE VISION AND IMAGE PROCESSING, 6(1 ), 79-92. SID. https://sid.ir/paper/364143/en

Vancouver: Copy

Alibabaie Najmeh, LATIF ALIMOHAMMAD. Fuzzy Notch Filter for Periodic Noise Reduction in Digital Images. MACHINE VISION AND IMAGE PROCESSING[Internet]. 2019;6(1 ):79-92. Available from: https://sid.ir/paper/364143/en

IEEE: Copy

Najmeh Alibabaie, and ALIMOHAMMAD LATIF, “Fuzzy Notch Filter for Periodic Noise Reduction in Digital Images,” MACHINE VISION AND IMAGE PROCESSING, vol. 6, no. 1 , pp. 79–92, 2019, [Online]. Available: https://sid.ir/paper/364143/en

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