Conference proceeding
NIGHTTIME IMAGE DEHAZING WITH LOCAL ATMOSPHERIC LIGHT AND WEIGHTED ENTROPY
2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), v 2016-, pp 2261-2265
01 Jan 2016
Abstract
In this paper, we propose a novel framework for nighttime image dehazing based on a nighttime haze model which accounts for varying light sources and their glow. First, glow effects are decomposed using relative smoothness. Atmospheric light is then estimated by combining global and local atmospheric lights using a local atmospheric selection map. The transmission is estimated by maximizing an objective function designed with weighted entropy. Finally, haze is removed using two estimated parameters which are atmospheric light and transmission. Experimental results validate the proposed method can achieve haze-free results while alleviating the glow effect.
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Details
- Title
- NIGHTTIME IMAGE DEHAZING WITH LOCAL ATMOSPHERIC LIGHT AND WEIGHTED ENTROPY
- Creators
- Dubok Park - Korea UniversityDavid K. Han - Office of Naval ResearchHanseok Ko - Korea University
- Publication Details
- 2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), v 2016-, pp 2261-2265
- Series
- IEEE International Conference on Image Processing ICIP
- Publisher
- IEEE
- Number of pages
- 5
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000390782002065
- Scopus ID
- 2-s2.0-85006809784
- Other Identifier
- 991021931085904721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Electrical & Electronic
- Imaging Science & Photographic Technology