Underwater image enhancement using adaptive retinal mechanisms
We propose an underwater image enhancement model inspired by the morphology and
function of the teleost fish retina. We aim to solve the problems of underwater image …
function of the teleost fish retina. We aim to solve the problems of underwater image …
Illumination-invariant flotation froth color measuring via Wasserstein distance-based CycleGAN with structure-preserving constraint
Froth color can be referred to as a direct and instant indicator to the key flotation production
index, for example, concentrate grade. However, it is intractable to measure the froth color …
index, for example, concentrate grade. However, it is intractable to measure the froth color …
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space
An accurate detection and management of pain, measured through its relative intensity,
plays an important role in the treatment of disease and reducing a patient's discomfort. As it …
plays an important role in the treatment of disease and reducing a patient's discomfort. As it …
Intel-tau: A color constancy dataset
In this paper, we describe a new large dataset for illumination estimation. This dataset,
called INTEL-TAU, contains 7022 images in total, which makes it the largest available high …
called INTEL-TAU, contains 7022 images in total, which makes it the largest available high …
A novel biologically-inspired method for underwater image enhancement
X Yan, G Wang, G Wang, Y Wang, X Fu - Signal Processing: Image …, 2022 - Elsevier
Underwater images are usually characterized by color distortion, blurry, and severe noise,
because light is severely scattered and absorbed when traveling in the water. In this paper …
because light is severely scattered and absorbed when traveling in the water. In this paper …
Bag of color features for color constancy
In this paper, we propose a novel color constancy approach, called Bag of Color Features
(BoCF), building upon Bag-of-Features pooling. The proposed method substantially reduces …
(BoCF), building upon Bag-of-Features pooling. The proposed method substantially reduces …
Improving color constancy in an ambient light environment using the phong reflection model
We present a physics-based illumination estimation approach explicitly designed to handle
natural images under ambient light. Existing physics-based color constancy methods are …
natural images under ambient light. Existing physics-based color constancy methods are …
Ranking-based color constancy with limited training samples
Computational color constancy is an important component of Image Signal Processors (ISP)
for white balancing in many imaging devices. Recently, deep convolutional neural networks …
for white balancing in many imaging devices. Recently, deep convolutional neural networks …
N-white balancing: White balancing for multiple illuminants including non-uniform illumination
In this paper, we propose a novel white balance adjustment for multi-illuminant scenes,
called “N-white balancing,” in which source white points are mapped into a ground truth one …
called “N-white balancing,” in which source white points are mapped into a ground truth one …
No-reference quality assessment of underwater image enhancement
Due to the attenuation and scattering of light in the water medium, real-world underwater
images usually suffer from diverse quality defects, such as color casts, low contrast, and …
images usually suffer from diverse quality defects, such as color casts, low contrast, and …