DiffLight: Integrating Content and Detail for Low-light Image Enhancement
Y Feng, S Hou, H Lin, Y Zhu, P Wu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract The Low Light Image Enhancement (LLIE) task has been a hotspot in low-level
computer vision research. The camera sensor can only capture a small amount of ambient …
computer vision research. The camera sensor can only capture a small amount of ambient …
Low-light wheat image enhancement using an explicit inter-channel sparse transformer
Low-light image enhancement poses a significant challenge in agricultural settings,
particularly for time-series captured wheat images. The use of time-series captured image …
particularly for time-series captured wheat images. The use of time-series captured image …
An impact study of deep learning-based low-light image enhancement in intelligent transportation systems
Images and videos captured in poor illumination conditions are degraded by low brightness,
reduced contrast, color distortion, and noise, rendering them barely discernable for human …
reduced contrast, color distortion, and noise, rendering them barely discernable for human …
[PDF][PDF] Technique Report of Team GroundTruth for CVPR 2024 PBDL Challenge Low-light Object Detection and Instance Segmentation
Low-light conditions pose a significant challenge in maintaining image quality compared to
well-lit environments, often resulting in noticeable degradation such as loss of detail, color …
well-lit environments, often resulting in noticeable degradation such as loss of detail, color …