Results 121 to 130 of about 1,385 (183)

Topic: "Color Image Processing: Models and Methods (CIP: MM)". [PDF]

Entropy (Basel)
Ramella G, Torcicollo I.
europepmc   +1 more source

Seeing the Unseen: RCPNet's Dual Strategy for Occluded and Similar-Color Sweet Persimmon Detection in Dense Canopies. [PDF]

Plants (Basel)
Li S, Sun L, Wu C, Zang W, Zhang S, Li F.   +5 more
europepmc   +1 more source

MCRFS-Net: single image dehazing based on multi-scale contrastive regularization and frequency selection. [PDF]

Sci Rep
Qin Q, Shui L, Zhang Y, Song S, Jiang J.
europepmc   +1 more source

Alpha-DehazeNet: single image dehazing <i>via</i> RGBA haze modeling and adaptive learning. [PDF]

PeerJ Comput Sci
He J, Li R.
europepmc   +1 more source

Unified-Removal: A Semi-Supervised Framework for Simultaneously Addressing Multiple Degradations in Real-World Images. [PDF]

J Imaging
Zhang Y.
europepmc   +1 more source

DFFNet: A Dual-Domain Feature Fusion Network for Single Remote Sensing Image Dehazing. [PDF]

Sensors (Basel)
Jin H, Chen Z, Song Z, Sun K.
europepmc   +1 more source

Bone-tissue decomposition of a single X-ray image <i>via</i> solving a Laplace equation. [PDF]

PeerJ
Wei Z, Tang W, Gong Y.
europepmc   +1 more source

ICAFormer: An Image Dehazing Transformer Based on Interactive Channel Attention. [PDF]

Sensors (Basel)
Chen Y, Yue T, An P, Hong H, Liu T, Liu Y, Zhou Y.   +6 more
europepmc   +1 more source

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Dehazing Using Color-Lines

ACM Transactions on Graphics, 2014
Photographs of hazy scenes typically suffer having low contrast and offer a limited visibility of the scene. This article describes a new method for single-image dehazing that relies on a generic regularity in natural images where pixels of small image patches typically exhibit a 1D distribution in RGB color space, known as color-lines.
Raanan Fattal
exaly   +3 more sources

Knowledge Transfer Dehazing Network for NonHomogeneous Dehazing

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
Single 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, Jing Liu 0031, Yuan Xie 0006, Yanyun Qu, Lizhuang Ma   +4 more
openaire   +2 more sources