High-Dynamic-Range Imaging for Cloud Segmentation
Sky/cloud images obtained from ground-based sky-cameras are usually captured using a fish-eye lens with a wide field of view. However, the sky exhibits a large dynamic range in terms of luminance, more than a conventional camera can capture. It is thus difficult to capture the details of an entire scene with a regular camera in a single shot. In most cases, the circumsolar region is over-exposed, and the regions near the horizon are under-exposed. This renders cloud segmentation for such images difficult. In this paper, we propose HDRCloudSeg -- an effective method for cloud segmentation using High-Dynamic-Range (HDR) imaging based on multi-exposure fusion. We describe the HDR image generation process and release a new database to the community for benchmarking. Our proposed approach is the first using HDR radiance maps for cloud segmentation and achieves very good results.
Code (1)
Tasks
BenchmarkingImage GenerationSegmentationVocal Bursts Intensity PredictionSimilar Papers 제목 키워드 기반
An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures
This paper proposes a novel multi-exposure image fusion (MEF) scheme for single-shot high dynamic range imaging with spatially varying exposures (SVE). Single-shot imaging with SVE enables us not only to produce images w…
Multi-Exposure Image FusionScene SegmentationNeuromorphic Cameras in Astronomy: Unveiling the Future of Celestial Imaging Beyond Conventional Limits
To deepen our understanding of optical astronomy, we must advance imaging technology to overcome conventional frame-based cameras' limited dynamic range and temporal resolution. Our Perspective paper examines how neuromo…
AstronomyACZ-GSeg: Adaptive Concentric Zone-based Two-stage Ground Segmentation for LiDAR Point Clouds
Ground segmentation is a fundamental prerequisite for autonomous navigation, environmental perception, and object detection in ground mobile platforms. To address the under-segmentation of ground points caused by sparse …
Object DetectionPoint CloudsA DMD-Based Adaptive Modulation Method for High Dynamic Range Imaging in High-Glare Environments
Background The accuracy of photomechanics measurements critically relies on image quality,particularly under extreme illumination conditions such as welding arc monitoring and polished metallic surface analysis. High dyn…
Nighttime sky/cloud image segmentation
Imaging the atmosphere using ground-based sky cameras is a popular approach to study various atmospheric phenomena. However, it usually focuses on the daytime. Nighttime sky/cloud images are darker and noisier, and thus …
Image SegmentationSegmentationSemantic Segmentation