Frequency domain medianlike filter for periodic and quasi-periodic noise removal

2002 ◽  
Author(s):  
Igor N. Aizenberg ◽  
Constantine Butakoff
Keyword(s):  
Frequency Domain ◽  
Noise Removal ◽  
Periodic Noise

scholarly journals Periodic Noise Removal in Strain and Natural Images Using 2-D Fast Fourier Transform

2013 ◽  
pp. 90-94
Author(s):  
Mandeep Kaur ◽  
Dinesh Kumar ◽  
Ekta Walia ◽  
Manjit Sandhu
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Frequency Domain ◽  
Noise Removal ◽  
Natural Images ◽  
Periodic Pattern ◽  
Periodic Noise ◽  
Mean Filter ◽  
The Mean

This paper presents a 2-D FFT removal algorithm for reducing the periodic noise in natural and strain images. For the periodic pattern of the artifacts, we apply the 2-D FFT on the strain and natural images to extract and remove the peaks which are corresponding to periodic noise in the frequency domain. Further the mean filter applied to get more effective results. The performance of the proposed method is tested on both natural and strain images. The results of proposed method is compared with the mean filter based periodic noise removal and found that the proposed method significantly improved for the noise removal.

Adaptive multidirectional frequency domain filter for noise removal in wrapped phase patterns

2016 ◽  
Vol 55 (22) ◽  
pp. 5953 ◽  
Author(s):  
Guixiong Liu ◽  
Dongxue Chen ◽  
Yanhua Peng ◽  
Qilin Zeng
Keyword(s):  
Frequency Domain ◽  
Noise Removal

A Hybrid Approach for Stripe Noise Removal in Frequency Domain

2014 ◽  
Vol 915-916 ◽  
pp. 1194-1201
Author(s):  
Si Le Wang ◽  
De Qing Zhang ◽  
Shi Yong Fan ◽  
Sen Li ◽  
Wen Zhu Yang
Keyword(s):  
Frequency Domain ◽  
Wavelet Decomposition ◽  
Hybrid Approach ◽  
Noise Removal ◽  
Line Scan ◽  
Band Stop Filter ◽  
Other Information ◽  
The Mathematical Model ◽  
Denoised Image ◽  
Spatial Frequency Domain

Stripe noise always occurs in line-scan images which can seriously affect the image quality for future usage. To eliminate the stripe noise from the polluted line-scan images, a hybrid approach for stripe noise removal in frequency domain was presented. Firstly, the mathematical model of the stripe noise was established to describe its character. Secondly, the information of the stripe noise was separated from other information of the image by wavelet decomposition. Then, a band stop filter was designed for removing the stripe noise from the separated details band in spatial-frequency domain of Fourier. At last, the denoised image was obtained after wavelet reconstruction. The results indicate that the proposed approach can remove the stripe noise effectively from the polluted line-scan image while preserving as much details of the object in the image as possible.

Periodic noise removal using local thresholding

2016 ◽  
Author(s):  
Vipin Prakash Yadav ◽  
Gajendra Singh ◽  
Md. Imtiyaz Anwar ◽  
Arun Khosla
Keyword(s):  
Noise Removal ◽  
Periodic Noise ◽  
Local Thresholding
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