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
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;
Conference_Titel :
Intelligent Systems (GCIS), 2013 Fourth Global Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4799-2885-9
DOI :
10.1109/GCIS.2013.37