A systematic review and analysis of deep learning-based underwater object detection
Underwater object detection is one of the most challenging research topics in computer
vision technology. The complex underwater environment makes underwater images suffer …
vision technology. The complex underwater environment makes underwater images suffer …
Underwater image enhancement: a comprehensive review, recent trends, challenges and applications
The mysteries of deep-sea ecosystems can be unlocked to reveal new sources, for
developing medical drugs, food and energy resources, and products of renewable energy …
developing medical drugs, food and energy resources, and products of renewable energy …
Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement
Underwater images typically suffer from color deviations and low visibility due to the
wavelength-dependent light absorption and scattering. To deal with these degradation …
wavelength-dependent light absorption and scattering. To deal with these degradation …
Underwater image enhancement with hyper-laplacian reflectance priors
Underwater image enhancement aims at improving the visibility and eliminating color
distortions of underwater images degraded by light absorption and scattering in water …
distortions of underwater images degraded by light absorption and scattering in water …
Multi-view underwater image enhancement method via embedded fusion mechanism
Due to wavelength-dependent light absorption and scattering, underwater images often
appear with a colour cast and blurry details. Most existing deep learning methods utilize a …
appear with a colour cast and blurry details. Most existing deep learning methods utilize a …
Underwater camera: Improving visual perception via adaptive dark pixel prior and color correction
We present a novel method for underwater image restoration, which combines a
Comprehensive Imaging Formation Model with prior knowledge and unsupervised …
Comprehensive Imaging Formation Model with prior knowledge and unsupervised …
Contrastive semi-supervised learning for underwater image restoration via reliable bank
Despite the remarkable achievement of recent underwater image restoration techniques, the
lack of labeled data has become a major hurdle for further progress. In this work, we …
lack of labeled data has become a major hurdle for further progress. In this work, we …
Twin adversarial contrastive learning for underwater image enhancement and beyond
Underwater images suffer from severe distortion, which degrades the accuracy of object
detection performed in an underwater environment. Existing underwater image …
detection performed in an underwater environment. Existing underwater image …
Underwater image enhancement via medium transmission-guided multi-color space embedding
Underwater images suffer from color casts and low contrast due to wavelength-and distance-
dependent attenuation and scattering. To solve these two degradation issues, we present an …
dependent attenuation and scattering. To solve these two degradation issues, we present an …
Learning to enhance low-light image via zero-reference deep curve estimation
This paper presents a novel method, Zero-Reference Deep Curve Estimation (Zero-DCE),
which formulates light enhancement as a task of image-specific curve estimation with a deep …
which formulates light enhancement as a task of image-specific curve estimation with a deep …