ArticleScientific reports2018
Polarimetric image recovery method combining histogram stretching for underwater imaging.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Automated Computer-Assisted Diagnosis of Pleural Effusion in Chest X-Rays via Deep Learning.Diagnostics (Basel, Switzerland) · 2025Article
- Restoration of Turbid Underwater Images of Cobalt Crusts Using Combined Homomorphic Filtering and a Polarization Imaging System.Sensors (Basel, Switzerland) · 2025Article
- Polarimetric image recovery method with domain-adversarial learning for underwater imaging.Scientific reports · 2025Article
- Non-Contact Water Level Response Measurement of a Tubular Level Gauge Using Image Signals.Sensors (Basel, Switzerland) · 2020Article
- Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain.Sensors (Basel, Switzerland) · 2020Article
- Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic Pooling.Frontiers in neuroscience · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The underwater imaging could be severely degraded by the scattering media because of the backscattered light and signal attenuation, especially in the case of strong scattering for dense turbid medium. In this paper, we propose an improved method for recovering the underwater image combining the histogram stretching and polarimetric recovery in a proper way. In this method, we stretch the histograms of the orthogonal polarization images while maintaining the polarization relation between them, and then, based on the processed orthogonal polarization images, the recovered image with higher quality can be obtained by the traditional polarimetric recovery method. Several groups of experimental results demonstrate that the quality of underwater images can be effectively enhanced by our method, and its performance is better than that of the traditional polarimetric recovery method. In particular, the proposed method is also quite effective in the condition of dense turbid medium.
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Registered trials
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