Results 111 to 120 of about 18,768,334 (232)

Multi-Scale Attention Feature Enhancement Network for Single Image Dehazing. [PDF]

Sensors (Basel), 2023
Dong W, Wang C, Sun H, Teng Y, Xu X.
europepmc   +1 more source

WTCL-Dehaze: Rethinking Real-world Image Dehazing via Wavelet Transform and Contrastive Learning

Images captured in hazy outdoor conditions often suffer from colour distortion, low contrast, and loss of detail, which impair high-level vision tasks. Single image dehazing is essential for applications such as autonomous driving and surveillance, with ...
Kasule, Abdul Nasser, Appiah, Divine Joseph, Guan, Donghai, Wei, Mingqiang   +3 more
core  

FSSM: Frequency-Enhanced State Space Modeling with FFT-Based Two-Sided Non-Causal Convolution for Image Dehazing. [PDF]

J Imaging
Zeng L, Huang Y.
europepmc   +1 more source

Single Image Dehazing based on Modified Dark Channel Prior and Fog Density Detection

, 2012
In this thesis, a single image dehazing method based on modified dark channel prior and haze (fog) density detection is proposed. Dark channel prior dehazing algorithm is achieved good results for some haze images.
Lin, Cheng-Yang
core  

A false-positive Focused Assessment with Sonography in Trauma (FAST) in a trauma patient. [PDF]

Clin Exp Emerg Med
Taylor L, Milgrim F, Riscinti M, Gottlieb M.   +3 more
europepmc   +1 more source

IDOD-YOLOV7: Image-Dehazing YOLOV7 for Object Detection in Low-Light Foggy Traffic Environments. [PDF]

Sensors (Basel), 2023
Qiu Y, Lu Y, Wang Y, Jiang H.
europepmc   +1 more source

Physics-Inspired Frequency-Decoupled Network for Remote Sensing Image Dehazing. [PDF]

Sensors (Basel)
Yang H, Chen X, Xu G.
europepmc   +1 more source

Spatial-frequency complementary fusion network for dehazing with multi-scale and attention modules. [PDF]

Sci Rep
Yan C, Liu G.
europepmc   +1 more source

Image prediction algorithm for foggy road scenes based on improved transformer. [PDF]

Sci Rep
Zhang BT, Zhao AY, Xiong P.
europepmc   +1 more source

Dehazing of Satellite Images

, 2018
The aim of this work is to find a method for removing haze from satellite imagery. This is done by taking two algorithms developed for images taken from the sur- face of the earth and adapting them for satellite images. The two algorithms are Single Image Haze Removal Using Dark Channel Prior by He et al.
openaire   +1 more source