Removal of water scattering
By Liu Chao, M. Wang. International Conference on Computer Engineering and Technology, 2010
164 citations recorded by the source corpus.
Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/03c3509304c5615cffc756172c7b6f10386995b8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Graphics and Computer-Aided Design
In Computer Vision and Pattern Recognition
- Pamela C. Cosman
- Yan-Tsung Peng
- Keming Cao
- Felipe Codevilla Moraes
- Paulo L. J. Drews-Jr
- Silvia Silva da Costa Botelho
- John Yi-Wu Chiang
- Ying-Ching Chen
In Media Technology
- Felipe Codevilla Moraes
- Paulo L. J. Drews-Jr
- Silvia Silva da Costa Botelho
- John Yi-Wu Chiang
- Pamela C. Cosman
- Ying-Ching Chen
- Erickson R. Nascimento
- Yan-Tsung Peng
Citations in the corpus
- Generalization of the Dark Channel Prior for Single Image Restoration (2018, methodology): “The approach for hazy images [1], sandstorm images [4], [5], and some underwater images [9]–[11], two approaches for night-time terrestrial”
- Underwater Image Enhancement by Wavelength Compensation and Dehazing (2012, methodology): “The colors processed by the WCID proposed, by dark-channel dehazing [8], by chromatism-based dehazing [24], and histogram equalization algorithms [11] are compared with the ground-truth ones taken above water, as shown in Figs.”
- Underwater Image Restoration Based on Image Blurriness and Light Absorption (2017, methodology): “Table I summarizes all the priors, and BL and TM estimation methods in [8]–[16].”
- Transmission Estimation in Underwater Single Images (2013, methodology): “Hence, both works [3, 4] that uses standard DCP can fail in this typical situation.”