A fast image dehazing method that does not introduce color artifacts-Reference-Cited by-同舟云学术

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A fast image dehazing method that does not introduce color artifacts

Published:2018-08-29 Issue:3 Volume:17 Page:607-622
ISSN:1861-8200
Container-title:Journal of Real-Time Image Processing
language:en
Short-container-title:J Real-Time Image Proc

Author:

Vazquez-Corral Javier,Galdran Adrian,Cyriac Praveen,Bertalmío Marcelo

Funder

European Research Council

Ministerio de Economía y Competitividad

ICREA

H2020 LEIT Information and Communication Technologies

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s11554-018-0816-6.pdf

Reference63 articles.

1. Ancuti, C., Ancuti, C.: Single image dehazing by multi-scale fusion. IEEE Trans. Image Process. 22(8), 3271–3282 (2013)

2. Ancuti, C.O., Ancuti, C., Hermans, C., Bekaert, P.: A fast semi-inverse approach to detect and remove the haze from a single image. In: No. 6493 in Asian Conference on Computer Vision, ACCV-2010, pp. 501–514 (2010)

3. Ancuti, C., Ancuti, C.O., De Vleeschouwer, C.: D-hazy: A dataset to evaluate quantitatively dehazing algorithms. In: IEEE International Conference on Image Processing (ICIP), ICIP’16 (2016)

4. Bai, L., Wu, Y., Xie, J., Wen, P.: Real time image haze removal on multi-core dsp. Procedia Eng. 99, 244–252 (2015). https://doi.org/10.1016/j.proeng.2014.12.532 . (2014 Asia-Pacific International Symposium on Aerospace Technology, APISAT2014 September 24–26, 2014 Shanghai, China)

5. Berman, D., Treibitz, T., Avidan, S.: Non-local image dehazing. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)

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