Enhancing visibility in nighttime haze images using guided apsf and gradient adaptive convolution
Visibility in hazy nighttime scenes is frequently reduced by multiple factors, including low
light, intense glow, light scattering, and the presence of multicolored light sources. Existing …
light, intense glow, light scattering, and the presence of multicolored light sources. Existing …
Motion Deblur by learning residual from events
Conventional cameras face challenges when capturing motion information during the
exposure due to their physical design, rendering the motion deblurring task ill-posed. To this …
exposure due to their physical design, rendering the motion deblurring task ill-posed. To this …
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results
The increasing demand for computational photography and imaging on mobile platforms
has led to the widespread development and integration of advanced image sensors with …
has led to the widespread development and integration of advanced image sensors with …
MIPI 2024 Challenge on Demosaic for Hybridevs Camera: Methods and Results
The rising demand for computational photography on mobile devices drives development of
advanced image sensors and algorithms for camera systems. But the lack of opportunities …
advanced image sensors and algorithms for camera systems. But the lack of opportunities …
For Overall Nighttime Visibility: Integrate Irregular Glow Removal with Glow-aware Enhancement
Current low-light image enhancement (LLIE) techniques truly enhance luminance but have
limited exploration on another harmful factor of nighttime visibility, the glow effects with …
limited exploration on another harmful factor of nighttime visibility, the glow effects with …
A Data Generation Method for Image Flare Removal Based on Similarity and Centrosymmetric Effect
Z Jin, H Feng, Z Xu, Y Chen - Photonics, 2023 - mdpi.com
Image pairs in under-illuminated scenes along with the presence of complex light sources
often result in strong flare artifacts in images, affecting both image quality and the …
often result in strong flare artifacts in images, affecting both image quality and the …
Hierarchical Context Modeling Network for Landmark Recognition
Landmark recognition stands as a prominent classification challenge within the domain of
vision and perception, involving the identification and localization of landmarks in images …
vision and perception, involving the identification and localization of landmarks in images …
SFNet-A Spatial-Frequency Domain Neural Network For Image Lens Flare Removal
High-intensity light sources in the scene can cause undesired internal reflections between
the multiple optical elements of lenses, resulting in loss of contrast and color change. This …
the multiple optical elements of lenses, resulting in loss of contrast and color change. This …
Image lens flare removal algorithm using semantic information integration
Q Wang, J Zhang, Y Jiang - Journal of Electronic Imaging, 2024 - spiedigitallibrary.org
In scenarios with strong light sources, images captured by surveillance cameras often
exhibit lens flare, which can significantly blur or even completely obscure the details of the …
exhibit lens flare, which can significantly blur or even completely obscure the details of the …
DeFlare-Net: Flare Detection and Removal Network
A Ghodesawar, V Patil, A Raichur… - … Conference on Pattern …, 2023 - Springer
In this paper, we propose DeFlare-Net to detect, and remove flares. Typically, flares in hand-
held devices are inherent due to internal reflection of light and forward scattering of lens …
held devices are inherent due to internal reflection of light and forward scattering of lens …