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A single rolling-shutter (RS) image may be viewed as a row-wise combination of a sequence of global-shutter (GS) images captured by a (virtual) moving GS camera within the exposure duration. Although RS cameras are widely used, the RS…

Computer Vision and Pattern Recognition · Computer Science 2022-10-07 Bin Fan , Yuchao Dai , Hongdong Li

Videos obtained by rolling-shutter (RS) cameras result in spatially-distorted frames. These distortions become significant under fast camera/scene motions. Undoing effects of RS is sometimes addressed as a spatial problem, where objects…

Computer Vision and Pattern Recognition · Computer Science 2022-07-26 Eyal Naor , Itai Antebi , Shai Bagon , Michal Irani

Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS) images to an undistorted high frame-rate Global Shutter (GS) video is a severely ill-posed problem due to the missing temporal dynamic information in both RS…

Computer Vision and Pattern Recognition · Computer Science 2023-04-20 Yangguang Wang , Xiang Zhang , Mingyuan Lin , Lei Yu , Boxin Shi , Wen Yang , Gui-Song Xia

Modern consumer cameras usually employ the rolling shutter (RS) mechanism, where images are captured by scanning scenes row-by-row, yielding RS distortions for dynamic scenes. To correct RS distortions, existing methods adopt a fully…

Computer Vision and Pattern Recognition · Computer Science 2023-09-15 Wei Shang , Dongwei Ren , Chaoyu Feng , Xiaotao Wang , Lei Lei , Wangmeng Zuo

With the ubiquity of rolling shutter (RS) cameras, it is becoming increasingly attractive to recover the latent global shutter (GS) video from two consecutive RS frames, which also places a higher demand on realism. Existing solutions,…

Computer Vision and Pattern Recognition · Computer Science 2022-05-26 Bin Fan , Yuchao Dai , Zhiyuan Zhang , Qi Liu , Mingyi He

Video frames captured by rolling shutter (RS) cameras during fast camera movement frequently exhibit RS distortion and blur simultaneously. Naturally, recovering high-frame-rate global shutter (GS) sharp frames from an RS blur frame must…

Computer Vision and Pattern Recognition · Computer Science 2024-07-12 Yunfan LU , Guoqiang Liang , Yusheng Wang , Lin Wang , Hui Xiong

Most computer vision systems assume distortion-free images as inputs. The widely used rolling-shutter (RS) image sensors, however, suffer from geometric distortion when the camera and object undergo motion during capture. Extensive…

Computer Vision and Pattern Recognition · Computer Science 2022-06-28 Zhixiang Wang , Xiang Ji , Jia-Bin Huang , Shin'ichi Satoh , Xiao Zhou , Yinqiang Zheng

Modern consumer cameras commonly employ the rolling shutter (RS) imaging mechanism, via which images are captured by scanning scenes row-by-row, resulting in RS distortion for dynamic scenes. To correct RS distortion, existing methods adopt…

Computer Vision and Pattern Recognition · Computer Science 2024-08-22 Wei Shang , Dongwei Ren , Wanying Zhang , Qilong Wang , Pengfei Zhu , Wangmeng Zuo

Rolling shutter (RS) distortion can be interpreted as the result of picking a row of pixels from instant global shutter (GS) frames over time during the exposure of the RS camera. This means that the information of each instant GS frame is…

Computer Vision and Pattern Recognition · Computer Science 2022-07-21 Zhihang Zhong , Mingdeng Cao , Xiao Sun , Zhirong Wu , Zhongyi Zhou , Yinqiang Zheng , Stephen Lin , Imari Sato

This paper proposes to correct the rolling shutter (RS) distorted images by estimating the distortion flow from the global shutter (GS) to RS directly. Existing methods usually perform correction using the undistortion flow from the RS to…

Computer Vision and Pattern Recognition · Computer Science 2024-04-10 Mingdeng Cao , Sidi Yang , Yujiu Yang , Yinqiang Zheng

We present RS-Diffusion, the first Diffusion Models-based method for single-frame Rolling Shutter (RS) correction. RS artifacts compromise visual quality of frames due to the row-wise exposure of CMOS sensors. Most previous methods have…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Zhanglei Yang , Haipeng Li , Mingbo Hong , Chen-Lin Zhang , Jiajun Li , Shuaicheng Liu

Motion degradation, manifested as blur in global shutter (GS) images or rolling shutter (RS) distortion in RS counterparts, remains a fundamental challenge in computational imaging, especially under fast motion or low-light conditions.…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Xiang Ji , Guixu Lin , Zhengwei Yin , Jiancheng Zhao , Yinqiang Zheng

This paper proposes the first real-world rolling shutter (RS) correction dataset, BS-RSC, and a corresponding model to correct the RS frames in a distorted video. Mobile devices in the consumer market with CMOS-based sensors for video…

Computer Vision and Pattern Recognition · Computer Science 2022-05-02 Mingdeng Cao , Zhihang Zhong , Jiahao Wang , Yinqiang Zheng , Yujiu Yang

The vast majority of modern consumer-grade cameras employ a rolling shutter mechanism, leading to image distortions if the camera moves during image acquisition. In this paper, we present a novel deep network to solve the generic rolling…

Computer Vision and Pattern Recognition · Computer Science 2021-08-11 Bin Fan , Yuchao Dai , Mingyi He

Slow shutter speed and long exposure time of frame-based cameras often cause visual blur and loss of inter-frame information, degenerating the overall quality of captured videos. To this end, we present a unified framework of event-based…

Computer Vision and Pattern Recognition · Computer Science 2022-04-15 Xiang Zhang , Lei Yu

In this paper, we develop a modified differential Structure from Motion (SfM) algorithm that can estimate relative pose from two consecutive frames despite of Rolling Shutter (RS) artifacts. In particular, we show that under constant…

Computer Vision and Pattern Recognition · Computer Science 2019-08-06 Bingbing Zhuang , Loong-Fah Cheong , Gim Hee Lee

High-quality scene reconstruction and novel view synthesis based on Gaussian Splatting (3DGS) typically require steady, high-quality photographs, often impractical to capture with handheld cameras. We present a method that adapts to camera…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Otto Seiskari , Jerry Ylilammi , Valtteri Kaatrasalo , Pekka Rantalankila , Matias Turkulainen , Juho Kannala , Esa Rahtu , Arno Solin

The rolling shutter (RS) mechanism is widely used by consumer-grade cameras, which are essential parts in smartphones and autonomous vehicles. The RS effect leads to image distortion upon relative motion between a camera and the scene. This…

Image and Video Processing · Electrical Eng. & Systems 2021-08-23 Jianzhu Huai , Yuan Zhuang , Qicheng Yuan , Yukai Lin

CMOS sensors employ row-wise acquisition mechanism while imaging a scene, which can result in undesired motion artifacts known as rolling shutter (RS) distortions in the captured image. Existing single image RS rectification methods attempt…

Computer Vision and Pattern Recognition · Computer Science 2021-12-14 Praveen K , Lokesh Kumar T , A. N. Rajagopalan

Fast neuromorphic event-based vision sensors (Dynamic Vision Sensor, DVS) can be combined with slower conventional frame-based sensors to enable higher-quality inter-frame interpolation than traditional methods relying on fixed motion…

Computer Vision and Pattern Recognition · Computer Science 2021-12-20 Adam Radomski , Andreas Georgiou , Thomas Debrunner , Chenghan Li , Luca Longinotti , Minwon Seo , Moosung Kwak , Chang-Woo Shin , Paul K. J. Park , Hyunsurk Eric Ryu , Kynan Eng
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