Results 101 to 110 of about 11,243,828 (208)
Improved Single Image Dehazing using Geometry
, 2016 Images captured in foggy weather conditions exhibit losses in quality which are dependent on distance. If the depth and atmospheric conditions are known, one can enhance the images (to some degree) by compensating for the effects of the fog.
Hartley, Richard, Carr, George Peter
core +1 more source
Single Image Dehazing Using Scene Depth Ordering [PDF]
Images captured in hazy weather generally suffer from quality degradation, and many dehazing methods have been developed to solve this problem. However, single image dehazing problem is still challenging due to its ill-posed nature.
Ling, Pengyang +4 more
core +1 more source
An image dehazing method combining adaptive dual transmissions and scene depth variation
Journal of Measurement Science and Instrumentation, 2023 Aiming at the problems of imprecise transmission estimation and color cast in single image dehazing algorithms, an image dehazing method combining adaptive dual transmissions and scene depth variation is proposed.
LIN Lei, YANG Yan
doaj
Color and sharpness assessment of single image dehazing
, 2017 International audienceImage dehazing is the process of enhancing a color image of a natural scene that contains an undesirable veil of fog for visualization or as a pre-processing step for computer vision systems.
El Khoury, Jessica +7 more
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Spatial-frequency complementary fusion network for dehazing with multi-scale and attention modules
Scientific ReportsSingle image dehazing is a challenging ill-posed problem. It aims to estimate the latent haze-free image from the observed hazy image. In recent years, learning-based methods have demonstrated their superiority in single image dehazing.
Chenguang Yan, Gang Liu
doaj +1 more source
Multi-level fusion dehazing network based on learning of hazy layers
Journal of Measurement Science and Instrumentation, 2023 Aiming at the problems such as color cast and incomplete haze removal in dehazing algorithms, a multi-level feature fusion network based on the learning of hazy layers is proposed for single image dehazing.
WANG Rong, YANG Yan
doaj
Interaction-Guided Two-Branch Image Dehazing Network
Image dehazing aims to restore clean images from hazy ones. Convolutional Neural Networks (CNNs) and Transformers have demonstrated exceptional performance in local and global feature extraction, respectively, and currently represent the two mainstream ...
Li, Xiaosong, Tan, Tianshu, Liu, Huichun
core +2 more sources
Enhance Dehazed Images Rapidly Without Losing Restoration Accuracy
IEEE AccessWe proposed a novel image-enhancing framework to ensure consolidated restoration accuracy when remedying the visual quality of dehazed images, such as over-saturation, color deviation, or luminance issues. Conventionally, the dehazing process was usually
Ping-Juei Liu
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Dark And Bright Envelopes For Dehazing Images
, 2014 We present a method for dehazing images. A dark envelope image is derived with the bilateral minimum filter and a bright envelope is derived with the bilateral maximum filter. The ambient light and transmission of the scene are estimated from these two envelope images.
Zihan Yu, Inoue, Kohei, Urahama, Kiichi
openaire +2 more sources
HazeCLIP: Towards Language Guided Real-World Image Dehazing [PDF]
Existing methods have achieved remarkable performance in image dehazing, particularly on synthetic datasets. However, they often struggle with real-world hazy images due to domain shift, limiting their practical applicability.
Li, Chunyi +6 more
core +3 more sources