Hierarchical attention aggregation with multi-resolution feature learning for GAN-based underwater image enhancement
In recent years, underwater image enhancement and restoration technologies have become
increasingly important in order to optimize the efficiency of maritime operations and promote …
increasingly important in order to optimize the efficiency of maritime operations and promote …
Classification of flower image based on attention mechanism and multi-loss attention network
M Zhang, H Su, J Wen - Computer Communications, 2021 - Elsevier
The accurate classification of flower images is the prerequisite for flower plant management
to artificial intelligence, how to use the machine to classify flowers automatically is the …
to artificial intelligence, how to use the machine to classify flowers automatically is the …
Conditional gans for multi-illuminant color constancy: Revolution or yet another approach?
O Sidorov - Proceedings of the IEEE/CVF conference on …, 2019 - openaccess.thecvf.com
Non-uniform and multi-illuminant color constancy are important tasks, the solution of which
will allow to discard information about lighting conditions in the image. Non-uniform …
will allow to discard information about lighting conditions in the image. Non-uniform …
Underwater image enhancement based on a spiral generative adversarial framework
Underwater image enhancement has drawn much attention due to the significance of
underwater vision. Although considerable progress has been made in this field, a key …
underwater vision. Although considerable progress has been made in this field, a key …
Object-based color constancy in a deep neural network
H Heidari-Gorji, KR Gegenfurtner - JOSA A, 2023 - opg.optica.org
Color constancy refers to our capacity to see consistent colors under different illuminations.
In computer vision and image processing, color constancy is often approached by explicit …
In computer vision and image processing, color constancy is often approached by explicit …
Convolutional neural network-based apple images classification and image quality measurement by light colors using the color-balancing approach
B Büyükarıkan, E Ülker - Multimedia Systems, 2023 - Springer
The appearance of an object is affected by the color and quality of the light on the surface
and the location of the lighting source. Color-balancing methods can solve the problems …
and the location of the lighting source. Color-balancing methods can solve the problems …
Deep learning-based illumination estimation using light source classification
Color constancy is one of the key steps in the process of image formation in digital cameras.
Its goal is to process the image so that there is no influence of illumination color on the …
Its goal is to process the image so that there is no influence of illumination color on the …
Using convolutional neural network models illumination estimation according to light colors
B Büyükarıkan, E Ülker - Optik, 2022 - Elsevier
One of the important problems in digital images is that the object's color changes as the light
source's color changes. Color constancy methods are used to solve these problems. Color …
source's color changes. Color constancy methods are used to solve these problems. Color …
Iterative convolutional neural network-based illumination estimation
In the image processing pipelines of digital cameras, one of the first steps is to achieve
invariance in terms of scene illumination, namely computational color constancy. Usually …
invariance in terms of scene illumination, namely computational color constancy. Usually …
Fast underwater image enhancement based on a generative adversarial framework
Y Guan, X Liu, Z Yu, Y Wang, X Zheng… - Frontiers in Marine …, 2023 - frontiersin.org
Underwater image enhancement is a fundamental requirement in the field of underwater
vision. Along with the development of deep learning, underwater image enhancement has …
vision. Along with the development of deep learning, underwater image enhancement has …