Active Polarization Descattering

By Tali Treibitz, Yoav Y. Schechner. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009

444 citations recorded by the source corpus.

Subfields: Acoustics and Ultrasonics, Biomedical Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/64d46c4b42d91a707f1abf0b4cece0e6b50cb850

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Acoustics and Ultrasonics

1. Raimondo Schettini
2. Silvia Corchs
3. Philippe Bekaert
4. Cosmin Ancuți
5. C. De Vleeschouwer
6. Codruta Orniana Ancuti

In Biomedical Engineering

1. Chunle Guo
2. Chongyi Li
3. Wenqi Ren
4. Runmin Cong
5. Junhui Hou
6. Raimondo Schettini
7. Silvia Corchs
8. Dacheng Tao

In Computer Vision and Pattern Recognition

1. Chongyi Li
2. Chunle Guo
3. Runmin Cong
4. Wenqi Ren
5. Cosmin Ancuți
6. Codruta Orniana Ancuti
7. Dacheng Tao
8. Radu Timofte

Citations in the corpus

• An Underwater Image Enhancement Benchmark Dataset and Beyond (2019, methodology): “, polarization filtering [18]–[21], range-gated imaging [22], [23], and fluorescence imaging [24], [25]) were utilized to improve the visibility of underwater images.”
• Color Balance and Fusion for Underwater Image Enhancement (2018, methodology): “Our method performs better than earlier approaches of Treibitz and Schechner [67], He et al.”
• Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light (2019, methodology): “[35] made use of the polarization property to separate the background from the target to achieve the purpose of underwater descattering.”
• Sea-Thru: A Method for Removing Water From Underwater Images (2019, background): “While using the same coefficient for all color channels in underwater scenes is a very crude approximation [1], using a coefficient per channel can yield decent results [9, 13, 52, 56, 58].”
• Underwater Image Processing: State of the Art of Restoration and Image Enhancement Methods (2010, methodology): “Recently, Treibitz and Schechner [19] used a similar polarization-based method for visibility enhancement and distance estimation in scattering media.”
• Human-Visual-System-Inspired Underwater Image Quality Measures (2016, background): “The descatterring algorithm in [36] aims to remove the scattering effect of water.”
• Automated annotation of coral reef survey images (2012, background): “While colors are not generally a robust source of information [2], particularly underwater with artificial light sources [30], we show that color information is useful for this task.”