Removing snow from an image via image decomposition

Snowfall removal from an image is a challenging problem. In this paper, we propose a snowfall removal framework via image decomposition based on Morphological component analysis. The proposed methods first decompose an image into low frequency (LF) and high frequency (HF) parts using bilateral filte...

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Bibliographic Details
Published in2013 International Conference on Emerging Trends in Computing, Communication and Nanotechnology pp. 576 - 579
Main Authors Rajderkar, D., Mohod, P. S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2013
Subjects
Dictionaries
Dictionary learning
Encoding
Feature extraction
Image decomposition
morphological component analysis
Rain
Snow
snow removal
sparse representation
Visualization
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Summary:Snowfall removal from an image is a challenging problem. In this paper, we propose a snowfall removal framework via image decomposition based on Morphological component analysis. The proposed methods first decompose an image into low frequency (LF) and high frequency (HF) parts using bilateral filter. The high frequency part is then decomposing into "snow component" and "non snow component" by performing dictionary learning and sparse coding.
ISBN:9781467350372
1467350370
DOI:10.1109/ICE-CCN.2013.6528565