Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15460
Title: Single Image Dehazing by Multi-Scale Fusion
Authors: Ancuti, Codruta Orniana 
Ancuti, Cosmin 
Issue Date: 2013
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Source: IEEE TRANSACTIONS ON IMAGE PROCESSING, 22 (8), p. 3271-3282
Abstract: Haze is an atmospheric phenomenon that significantly degrades the visibility of outdoor scenes. This is mainly due to the atmosphere particles that absorb and scatter the light. This paper introduces a novel single image approach that enhances the visibility of such degraded images. Our method is a fusion-based strategy that derives from two original hazy image inputs by applying a white balance and a contrast enhancing procedure. To blend effectively the information of the derived inputs to preserve the regions with good visibility, we filter their important features by computing three measures (weight maps): luminance, chromaticity, and saliency. To minimize artifacts introduced by the weight maps, our approach is designed in a multiscale fashion, using a Laplacian pyramid representation. We are the first to demonstrate the utility and effectiveness of a fusion-based technique for dehazing based on a single degraded image. The method performs in a per-pixel fashion, which is straightforward to implement. The experimental results demonstrate that the method yields results comparative to and even better than the more complex state-of-the-art techniques, having the advantage of being appropriate for real-time applications.
Notes: [Ancuti, Codruta Orniana; Ancuti, Cosmin] Hasselt Univ, Expertise Ctr Digital Media, B-3590 Diepenbeek, Belgium.
Keywords: Single image dehazing; outdoor images; enhancing;Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic
Document URI: http://hdl.handle.net/1942/15460
ISSN: 1057-7149
e-ISSN: 1941-0042
DOI: 10.1109/TIP.2013.2262284
ISI #: 000321926600029
Category: A1
Type: Journal Contribution
Validations: ecoom 2014
Appears in Collections:Research publications

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