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Motion blur is a frequently observed image artifact, especially under insufficient illumination where exposure time has to be prolonged so as to collect more photons for a bright enough image. Rather than simply removing such blurring…

计算机视觉与模式识别 · 计算机科学 2024-04-02 Xiang Ji , Haiyang Jiang , Yinqiang Zheng

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…

计算机视觉与模式识别 · 计算机科学 2022-10-07 Bin Fan , Yuchao Dai , Hongdong Li

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…

计算机视觉与模式识别 · 计算机科学 2022-06-28 Zhixiang Wang , Xiang Ji , Jia-Bin Huang , Shin'ichi Satoh , Xiao Zhou , Yinqiang Zheng

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…

计算机视觉与模式识别 · 计算机科学 2022-07-26 Eyal Naor , Itai Antebi , Shai Bagon , Michal Irani

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…

计算机视觉与模式识别 · 计算机科学 2022-07-21 Zhihang Zhong , Mingdeng Cao , Xiao Sun , Zhirong Wu , Zhongyi Zhou , Yinqiang Zheng , Stephen Lin , Imari Sato

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…

计算机视觉与模式识别 · 计算机科学 2024-07-12 Yunfan LU , Guoqiang Liang , Yusheng Wang , Lin Wang , Hui Xiong

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…

计算机视觉与模式识别 · 计算机科学 2024-08-22 Wei Shang , Dongwei Ren , Wanying Zhang , Qilong Wang , Pengfei Zhu , 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,…

计算机视觉与模式识别 · 计算机科学 2022-05-26 Bin Fan , Yuchao Dai , Zhiyuan Zhang , Qi Liu , Mingyi He

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…

计算机视觉与模式识别 · 计算机科学 2023-09-15 Wei Shang , Dongwei Ren , Chaoyu Feng , Xiaotao Wang , Lei Lei , Wangmeng Zuo

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…

计算机视觉与模式识别 · 计算机科学 2024-07-18 Otto Seiskari , Jerry Ylilammi , Valtteri Kaatrasalo , Pekka Rantalankila , Matias Turkulainen , Juho Kannala , Esa Rahtu , Arno Solin

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…

计算机视觉与模式识别 · 计算机科学 2023-04-20 Yangguang Wang , Xiang Zhang , Mingyuan Lin , Lei Yu , Boxin Shi , Wen Yang , Gui-Song Xia

Most consumer cameras use rolling shutter (RS) exposure, which often leads to distortions such as skew and jelly effects. These videos are further limited by bandwidth and frame rate constraints. In this paper, we explore the potential of…

计算机视觉与模式识别 · 计算机科学 2025-06-04 Yunfan Lu , Guoqiang Liang , Yiran Shen , Lin Wang

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…

计算机视觉与模式识别 · 计算机科学 2021-12-14 Praveen K , Lokesh Kumar T , A. N. Rajagopalan

Single-image super-resolution is a fundamental task for vision applications to enhance the image quality with respect to spatial resolution. If the input image contains degraded pixels, the artifacts caused by the degradation could be…

计算机视觉与模式识别 · 计算机科学 2018-07-31 Xinyi Zhang , Hang Dong , Zhe Hu , Wei-Sheng Lai , Fei Wang , Ming-Hsuan Yang

3D Gaussian Splatting (3DGS) has shown remarkable potential for static scene reconstruction, and recent advancements have extended its application to dynamic scenes. However, the quality of reconstructions depends heavily on high-quality…

计算机视觉与模式识别 · 计算机科学 2025-03-21 Yiren Lu , Yunlai Zhou , Disheng Liu , Tuo Liang , Yu Yin

To train a deblurring network, an appropriate dataset with paired blurry and sharp images is essential. Existing datasets collect blurry images either synthetically by aggregating consecutive sharp frames or using sophisticated camera…

计算机视觉与模式识别 · 计算机科学 2024-11-01 Dongwoo Lee , Joonkyu Park , Kyoung Mu Lee

We study the challenging problem of recovering detailed motion from a single motion-blurred image. Existing solutions to this problem estimate a single image sequence without considering the motion ambiguity for each region. Therefore, the…

计算机视觉与模式识别 · 计算机科学 2022-07-22 Zhihang Zhong , Xiao Sun , Zhirong Wu , Yinqiang Zheng , Stephen Lin , Imari Sato

Joint rolling shutter correction and deblurring (RSCD) techniques are critical for the prevalent CMOS cameras. However, current approaches are still based on conventional energy optimization and are developed for static scenes. To enable…

计算机视觉与模式识别 · 计算机科学 2021-04-06 Zhihang Zhong , Yinqiang Zheng , Imari Sato

Reconstructing dynamic 3D scenes from blurry monocular videos is challenging as motion-induced blur entangles object motion and geometry, hindering geometric consistency. We present Kinematics-GS, a kinematics-aware framework that models…

计算机视觉与模式识别 · 计算机科学 2026-05-12 Yeon-Ji Song , Kiyoung Kwon , Junoh Lee , Jin-Hwa Kim , Byoung-Tak Zhang

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…

计算机视觉与模式识别 · 计算机科学 2024-04-10 Mingdeng Cao , Sidi Yang , Yujiu Yang , Yinqiang Zheng
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