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Related papers: BurstDeflicker: A Benchmark Dataset for Flicker Re…

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Flicker artifacts, arising from unstable illumination and row-wise exposure inconsistencies, pose a significant challenge in short-exposure photography, severely degrading image quality. Unlike typical artifacts, e.g., noise and low-light,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Lishen Qu , Shihao Zhou , Jie Liang , Hui Zeng , Lei Zhang , Jufeng Yang

Capturing screens is now routine in our everyday lives. But the photographs of emissive displays are often influenced by the flicker-banding (FB), which is alternating bright%u2013dark stripes that arise from temporal aliasing between a…

Computer Vision and Pattern Recognition · Computer Science 2025-10-20 Libo Zhu , Zihan Zhou , Xiaoyang Liu , Weihang Zhang , Keyu Shi , Yifan Fu , Yulun Zhang

Understanding and mitigating flicker effects caused by rapid variations in light intensity is critical for enhancing the performance of event cameras in diverse environments. This paper introduces an innovative autonomous mechanism for…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Mehdi Sefidgar Dilmaghani , Waseem Shariff , Cian Ryan , Joe Lemley , Peter Corcoran

Videos are composed of sequence of interrelated frames. There is a minute difference among frames. Flicker is an error which is found in every video. It is like a checker box in a video, there are several reasons behind flickers generation,…

Other Computer Science · Computer Science 2013-10-22 Adnan Alam Khan , Safeeullah Soomro , Abdul Ghafoor Memon

Blur artifacts can seriously degrade the visual quality of images, and numerous deblurring methods have been proposed for specific scenarios. However, in most real-world images, blur is caused by different factors, e.g., motion and defocus.…

Computer Vision and Pattern Recognition · Computer Science 2023-09-12 Kaihao Zhang , Tao Wang , Wenhan Luo , Boheng Chen , Wenqi Ren , Bjorn Stenger , Wei Liu , Hongdong Li , Ming-Hsuan Yang

Generalizing deepfake detection to unseen manipulations remains a key challenge. A recent approach to tackle this issue is to train a network with pristine face images that have been manipulated with hand-crafted artifacts to extract more…

Computer Vision and Pattern Recognition · Computer Science 2026-04-13 Alejandro Cobo , Roberto Valle , José Miguel Buenaposada , Luis Baumela

Robots operating at night using conventional vision cameras face significant challenges in reconstruction due to noise-limited images. Previous work has demonstrated that burst-imaging techniques can be used to partially overcome this…

Robotics · Computer Science 2022-09-21 Ahalya Ravendran , Mitch Bryson , Donald G. Dansereau

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

Time-lapse image sequences offer visually compelling insights into dynamic processes that are too slow to observe in real time. However, playing a long time-lapse sequence back as a video often results in distracting flicker due to random…

Computer Vision and Pattern Recognition · Computer Science 2022-07-05 Erik Härkönen , Miika Aittala , Tuomas Kynkäänniemi , Samuli Laine , Timo Aila , Jaakko Lehtinen

In this paper, a framework of video face replacement is proposed and it deals with the flicker of swapped face in video sequence. This framework contains two main innovations: 1) the technique of image registration is exploited to align the…

Computer Vision and Pattern Recognition · Computer Science 2018-03-16 Xiaofang Wang , Guoqiang Xiang , Xinyue Zhang , Wei Wei

Noise is an inherent issue of low-light image capture, one which is exacerbated on mobile devices due to their narrow apertures and small sensors. One strategy for mitigating noise in a low-light situation is to increase the shutter time of…

Computer Vision and Pattern Recognition · Computer Science 2017-12-18 Clément Godard , Kevin Matzen , Matt Uyttendaele

The rapid advancement of generative AI has enabled the mass production of photorealistic synthetic images, blurring the boundary between authentic and fabricated visual content. This challenge is particularly evident in deepfake scenarios…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Minsun Jeon , Simon S. Woo

State-of-the-art video deblurring methods cannot handle blurry videos recorded in dynamic scenes, since they are built under a strong assumption that the captured scenes are static. Contrary to the existing methods, we propose a video…

Computer Vision and Pattern Recognition · Computer Science 2016-03-15 Tae Hyun Kim , Seungjun Nah , Kyoung Mu Lee

Exposure correction aims to enhance visual data suffering from improper exposures, which can greatly improve satisfactory visual effects. However, previous methods mainly focus on the image modality, and the video counterpart is less…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Jin Liu , Bo Wang , Chuanming Wang , Huiyuan Fu , Huadong Ma

Training learning-based deblurring methods demands a tremendous amount of blurred and sharp image pairs. Unfortunately, existing synthetic datasets are not realistic enough, and deblurring models trained on them cannot handle real blurred…

Computer Vision and Pattern Recognition · Computer Science 2022-07-22 Jaesung Rim , Geonung Kim , Jungeon Kim , Junyong Lee , Seungyong Lee , Sunghyun Cho

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

Event cameras are bio-inspired sensors that capture per-pixel asynchronous intensity change rather than the synchronous absolute intensity frames captured by a classical camera sensor. Such cameras are ideal for robotics applications since…

Computer Vision and Pattern Recognition · Computer Science 2022-05-18 Ziwei Wang , Dingran Yuan , Yonhon Ng , Robert Mahony

Focus stacking is widely used in micro, macro, and landscape photography to reconstruct all-in-focus images from multiple frames obtained with focus bracketing, that is, with shallow depth of field and different focus planes. Existing deep…

Computer Vision and Pattern Recognition · Computer Science 2023-11-30 Alexandre Araujo , Jean Ponce , Julien Mairal

Spike cameras, as innovative neuromorphic devices, generate continuous spike streams to capture high-speed scenes with lower bandwidth and higher dynamic range than traditional RGB cameras. However, reconstructing high-quality images from…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Kang Chen , Yajing Zheng , Tiejun Huang , Zhaofei Yu

Many videos contain flickering artifacts. Common causes of flicker include video processing algorithms, video generation algorithms, and capturing videos under specific situations. Prior work usually requires specific guidance such as the…

Computer Vision and Pattern Recognition · Computer Science 2023-03-15 Chenyang Lei , Xuanchi Ren , Zhaoxiang Zhang , Qifeng Chen
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