Topic: "Color Image Processing: Models and Methods (CIP: MM)". [PDF]
Entropy (Basel)Ramella G, Torcicollo I.
europepmc +1 more source
MCRFS-Net: single image dehazing based on multi-scale contrastive regularization and frequency selection. [PDF]
Sci RepQin Q, Shui L, Zhang Y, Song S, Jiang J.
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Alpha-DehazeNet: single image dehazing <i>via</i> RGBA haze modeling and adaptive learning. [PDF]
PeerJ Comput SciHe J, Li R.
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Seeing the Unseen: RCPNet's Dual Strategy for Occluded and Similar-Color Sweet Persimmon Detection in Dense Canopies. [PDF]
Plants (Basel)Li S +5 more
europepmc +1 more source
Unified-Removal: A Semi-Supervised Framework for Simultaneously Addressing Multiple Degradations in Real-World Images. [PDF]
J ImagingZhang Y.
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DFFNet: A Dual-Domain Feature Fusion Network for Single Remote Sensing Image Dehazing. [PDF]
Sensors (Basel)Jin H, Chen Z, Song Z, Sun K.
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Benchmarking Single-Image Dehazing and Beyond
IEEE Transactions on Image Processing, 2019 © 1992-2012 IEEE. We present a comprehensive study and evaluation of existing single-image dehazing algorithms, using a new large-scale benchmark consisting of both synthetic and real-world hazy images, called REalistic Single-Image DEhazing (RESIDE ...
Wenqi Ren, Dacheng Tao, Zhangyang Wang
exaly +2 more sources
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Knowledge Transfer Dehazing Network for NonHomogeneous Dehazing
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020Single image dehazing is an ill-posed problem that has recently drawn important attention. It is a challenging image process task, especially in nonhomogeneous scene. However, the existing dehazing methods are commonly designed to handle homogeneous haze which is easily violated in practice, due to the unknown haze distribution of real world.
Haiyan Wu +4 more
openaire +2 more sources
Illumination Controllable Dehazing Network Based on Unsupervised Retinex Embedding
IEEE Transactions on MultimediaOn the one hand, the dehazing task is an ill-posedness problem, which means that no unique solution exists. On the other hand, the dehazing task should take into account the subjective factor, which is to give the user selectable dehazed images rather ...
James Kwok, Yuan Yan Tang, Jie Gui
exaly +2 more sources
Today, there are typically two main approaches for dehazing, that is, enhancing images taken in hazy or foggy conditions. The first method is based on general image enhancement techniques where algorithms such as histogram equalization or Retinex are often used.
Vincent Jacob Whannou de Dravo +1 more
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