UWGAN: Underwater GAN for real-world underwater color restoration and dehazing
N Wang, Y Zhou, F Han, H Zhu, J Yao - arXiv preprint arXiv:1912.10269, 2019 - arxiv.org
In real-world underwater environment, exploration of seabed resources, underwater
archaeology, and underwater fishing rely on a variety of sensors, vision sensor is the most …
archaeology, and underwater fishing rely on a variety of sensors, vision sensor is the most …
A new algorithm for unsupervised global and local color correction
In this work we present a new algorithm for digital images unsupervised enhancement with
simultaneous global and local effects, called ACE for Automatic Color Equalization. It is …
simultaneous global and local effects, called ACE for Automatic Color Equalization. It is …
Automatic identification and quantification of dense microcracks in high-performance fiber-reinforced cementitious composites through deep learning-based computer …
High-performance fiber-reinforced cementitious composites (HPFRCCs) feature high
mechanical strengths, crack resistance, and durability. Under excessive loading, HPFRCCs …
mechanical strengths, crack resistance, and durability. Under excessive loading, HPFRCCs …
Normalised gamma transformation‐based contrast‐limited adaptive histogram equalisation with colour correction for sand–dust image enhancement
Images captured in the sand–dust weather often suffer from serious colour cast and poor
contrast, and this has serious implications for outdoor computer vision systems. To address …
contrast, and this has serious implications for outdoor computer vision systems. To address …
From retinex to automatic color equalization: issues in developing a new algorithm for unsupervised color equalization
We present a comparison between two color equalization algorithms: Retinex, the famous
model due to Land and McCann, and Automatic Color Equalization (ACE), a new algorithm …
model due to Land and McCann, and Automatic Color Equalization (ACE), a new algorithm …
Let you see in sand dust weather: A method based on halo-reduced dark channel prior dehazing for sand-dust image enhancement
The images that are captured in sand storms often suffer from low contrast and serious color
cast that are caused by sand dust, and these issues will have significant negative effects on …
cast that are caused by sand dust, and these issues will have significant negative effects on …
Building façade color distribution, color harmony and diversity in relation to street functions: using street view images and deep learning
Y Zhai, R Gong, J Huo, B Fan - ISPRS International Journal of Geo …, 2023 - mdpi.com
Building façade colors play an important role in influencing urban imageability, attraction
and citizens' experience. However, the relations between street functions and the building …
and citizens' experience. However, the relations between street functions and the building …
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 …
Geocrack: A high-resolution dataset for segmentation of fracture edges in geological outcrops
GeoCrack is the first large-scale open source annotated dataset of fracture traces from
geological outcrops, enabling deep learning-based fracture segmentation, setting a new …
geological outcrops, enabling deep learning-based fracture segmentation, setting a new …
Reconfigisp: Reconfigurable camera image processing pipeline
Abstract Image Signal Processor (ISP) is a crucial component in digital cameras that
transforms sensor signals into images for us to perceive and understand. Existing ISP …
transforms sensor signals into images for us to perceive and understand. Existing ISP …