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Artificial lights commonly leave strong lens flare artifacts on images captured at night. Nighttime flare not only affects the visual quality but also degrades the performance of vision algorithms. Existing flare removal methods mainly…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Yuekun Dai , Chongyi Li , Shangchen Zhou , Ruicheng Feng , Chen Change Loy

Intense light sources often produce flares in captured images at night, which deteriorates the visual quality and negatively affects downstream applications. In order to train an effective flare removal network, a reliable dataset is…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Lishen Qu , Shihao Zhou , Jinshan Pan , Jinglei Shi , Duosheng Chen , Jufeng Yang

Lens flare occurs when shooting towards strong light sources, significantly degrading the visual quality of images. Due to the difficulty in capturing flare-corrupted and flare-free image pairs in the real world, existing datasets are…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Lishen Qu , Zhihao Liu , Jinshan Pan , Shihao Zhou , Jinglei Shi , Duosheng Chen , Jufeng Yang

Photographing in the under-illuminated scenes, the presence of complex light sources often leave strong flare artifacts in images, where the intensity, the spectrum, the reflection, and the aberration altogether contribute the…

Computer Vision and Pattern Recognition · Computer Science 2023-06-29 Zheyan Jin , Shiqi Chen , Huajun Feng , Zhihai Xu , Yueting Chen

When taking images against strong light sources, the resulting images often contain heterogeneous flare artifacts. These artifacts can importantly affect image visual quality and downstream computer vision tasks. While collecting real data…

Image and Video Processing · Electrical Eng. & Systems 2023-09-01 Yuyan Zhou , Dong Liang , Songcan Chen , Sheng-Jun Huang , Shuo Yang , Chongyi Li

Lens flare is a common nighttime artifact caused by strong light sources scattering within camera lenses, leading to hazy streaks, halos, and glare that degrade visual quality. However, existing methods usually fail to effectively address…

Computer Vision and Pattern Recognition · Computer Science 2025-12-18 Xiyu Zhu , Wei Wang , Xin Yuan , Xiao Wang

When a camera is pointed at a strong light source, the resulting photograph may contain lens flare artifacts. Flares appear in a wide variety of patterns (halos, streaks, color bleeding, haze, etc.) and this diversity in appearance makes…

Image and Video Processing · Electrical Eng. & Systems 2021-10-11 Yicheng Wu , Qiurui He , Tianfan Xue , Rahul Garg , Jiawen Chen , Ashok Veeraraghavan , Jonathan T. Barron

Reflective flare is a phenomenon that occurs when light reflects inside lenses, causing bright spots or a "ghosting effect" in photos, which can impact their quality. Eliminating reflective flare is highly desirable but challenging. Many…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Yuekun Dai , Yihang Luo , Shangchen Zhou , Chongyi Li , Chen Change Loy

When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the captured photos, affecting the photos' visual quality. The main challenge in flare removal is to eliminate various flare artifacts while…

Computer Vision and Pattern Recognition · Computer Science 2024-06-27 Yiguo Jiang , Xuhang Chen , Chi-Man Pun , Shuqiang Wang , Wei Feng

Strong light sources in nighttime photography frequently produce flares in images, significantly degrading visual quality and impacting the performance of downstream tasks. While some progress has been made, existing methods continue to…

Computer Vision and Pattern Recognition · Computer Science 2025-07-24 Minglong Xue , Aoxiang Ning , Shivakumara Palaiahnakote , Mingliang Zhou

Lens flare is a degradation phenomenon caused by strong light sources. Existing researches on flare removal have mainly focused on images, while the spatiotemporal characteristics of video flare remain largely unexplored. Video flare…

Computer Vision and Pattern Recognition · Computer Science 2025-12-15 Junqiao Wang , Yuanfei Huang , Hua Huang

Increasing the visibility of nighttime hazy images is challenging because of uneven illumination from active artificial light sources and haze absorbing/scattering. The absence of large-scale benchmark datasets hampers progress in this…

Computer Vision and Pattern Recognition · Computer Science 2020-10-20 Jing Zhang , Yang Cao , Zheng-Jun Zha , Dacheng Tao

Lens flares arise from light reflection and refraction within sensor arrays, whose diverse types include glow, veiling glare, reflective flare and so on. Existing methods are specialized for one specific type only, and overlook the…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Yuwen He , Wei Wang , Wanyu Wang , Kui Jiang

Flare, an optical phenomenon resulting from unwanted scattering and reflections within a lens system, presents a significant challenge in imaging. The diverse patterns of flares, such as halos, streaks, color bleeding, and haze, complicate…

Computer Vision and Pattern Recognition · Computer Science 2024-12-19 Gopi Raju Matta , Rahul Siddartha , Rongali Simhachala Venkata Girish , Sumit Sharma , Kaushik Mitra

Restoring nighttime images affected by multiple adverse weather conditions is a practical yet under-explored research problem, as multiple weather conditions often coexist in the real world alongside various lighting effects at night. This…

Computer Vision and Pattern Recognition · Computer Science 2025-11-13 Yuetong Liu , Yunqiu Xu , Yang Wei , Xiuli Bi , Bin Xiao

Reflection removal technology plays a crucial role in photography and computer vision applications. However, existing techniques are hindered by the lack of high-quality in-the-wild datasets. In this paper, we propose a novel paradigm for…

Computer Vision and Pattern Recognition · Computer Science 2025-06-11 Kangning Yang , Ling Ouyang , Huiming Sun , Jie Cai , Lan Fu , Jiaming Ding , Chiu Man Ho , Zibo Meng

Flicker artifacts in short-exposure images are caused by the interplay between the row-wise exposure mechanism of rolling shutter cameras and the temporal intensity variations of alternating current (AC)-powered lighting. These artifacts…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Lishen Qu , Zhihao Liu , Shihao Zhou , Yaqi Luo , Jie Liang , Hui Zeng , Lei Zhang , Jufeng Yang

The rise of mobile devices has spurred advancements in camera technology and image quality. However, mobile photography still faces issues like scattering and reflective flares. While previous research has acknowledged the negative impact…

Image and Video Processing · Electrical Eng. & Systems 2024-11-05 Fengbo Lan , Chang Wen Chen

Lens flare significantly degrades image quality, impacting critical computer vision tasks like object detection and autonomous driving. Recent Single Image Flare Removal (SIFR) methods perform poorly when off-frame light sources are…

Computer Vision and Pattern Recognition · Computer Science 2025-10-20 Shr-Ruei Tsai , Wei-Cheng Chang , Jie-Ying Lee , Chih-Hai Su , Yu-Lun Liu

Nighttime photographers are often troubled by light pollution of unwanted artificial lights. Artificial lights, after scattered by aerosols in the atmosphere, can inundate the starlight and degrade the quality of nighttime images, by…

Computer Vision and Pattern Recognition · Computer Science 2021-06-21 Chang Liu , Xiaolin Wu
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