DocumentCode
1997462
Title
Fast Removal of Stripe Noise Based on Wavelet Decomposition
Author
Jingwei Yang ; Sile Wang ; Wenzhu Yang
Author_Institution
Dept. of Sci. & Technol., Hebei Univ., Baoding, China
fYear
2013
fDate
3-4 Dec. 2013
Firstpage
195
Lastpage
199
Abstract
Vertical stripe noise, also called waterfall artifact, is generally occurred in the line scan images. It degrades the image quality and leads to object misrecognition. This paper presents a new approach for removal of vertical stripe noise using multi-resolution wavelet decomposition. The line scan image was firstly decomposed in highest L levels using wavelet decomposition. Then the vertical component in each decomposition level was discarded to remove the stripe noise. Finally, the destriped image was reconstructed from the L level processed components. The results indicate that the proposed approach can eliminate the stripe noise effectively from the polluted image.
Keywords
image denoising; image reconstruction; image resolution; wavelet transforms; L-level processed components; destriped image reconstruction; image quality degradation; line scan image decomposition; multiresolution wavelet decomposition; object misrecognition; polluted image; vertical component discarding; vertical stripe noise removal; waterfall artifact; Filtering; Frequency-domain analysis; Noise; Smoothing methods; Wavelet domain; Wavelet transforms; Wavelet reconstruction; destriping; line scan image; stripe noise; wavelet decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2013 Fourth Global Congress on
Conference_Location
Hong Kong
Print_ISBN
978-1-4799-2885-9
Type
conf
DOI
10.1109/GCIS.2013.37
Filename
6805934
Link To Document