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Journal:   ELECTRONIC INDUSTRIES   SPRING 2017 , Volume 8 , Number 1 ; Page(s) 135 To 146.
 
Paper: 

Infrared Image Denoising By Wavelet Transform And Spatial Filters

 
 
Author(s):  Mahmuodi A., Chaman Motlagh A., Naseri A., Nasiri M.
 
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Abstract: 
In image processing, a natural and normal action is to capture an image. In capturing an image, interfering noise from certain sources contaminates the image and degrades its quality. This noise may not be erased easily. Nonlinear filters can achieve noiseless pictures better than linear ones. In this article, an effective and robust method against interfering noise in restoration of infrared images is proposed. An improved hybrid median filter is initially introduced in this proposal, and in conjunction with a Wiener filter the noise is removed using a method based on wavelet transform. Combination of spatial and wavelet transform domain filters is the idea proposed in this paper to cover the shortcomings of both domains. The results of simulations show that the proposed methods are better than other popular noise rejection methods in terms of image quality and PSNR.
 
Keyword(s): WIENER FILTER, IMAGE DENOISING, WAVELET TRANSFORM, HYBRID MEDIAN FILTER
 
 
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APA: Copy

MAHMUODI, A., & CHAMAN MOTLAGH, A., & NASERI, A., & NASIRI, M. (2017). INFRARED IMAGE DENOISING BY WAVELET TRANSFORM AND SPATIAL FILTERS. ELECTRONIC INDUSTRIES, 8(1 ), 135-146. https://www.sid.ir/en/journal/ViewPaper.aspx?id=569853



Vancouver: Copy

MAHMUODI A., CHAMAN MOTLAGH A., NASERI A., NASIRI M.. INFRARED IMAGE DENOISING BY WAVELET TRANSFORM AND SPATIAL FILTERS. ELECTRONIC INDUSTRIES. 2017 [cited 2022May29];8(1 ):135-146. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=569853



IEEE: Copy

MAHMUODI, A., CHAMAN MOTLAGH, A., NASERI, A., NASIRI, M., 2017. INFRARED IMAGE DENOISING BY WAVELET TRANSFORM AND SPATIAL FILTERS. ELECTRONIC INDUSTRIES, [online] 8(1 ), pp.135-146. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=569853.



 
 
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